BridgeKPI
Goals that know your life
Self View
Synced · 14 sources
M
M

Matthew

Last sync: Today at 8:14 AM · Tue May 26
Goals you set · this season
3 of 11 on track
8 are slipping · 6 weeks since they were last on pace
That's information, not failure. The patterns underneath are usually what need attention first.
27%
Energy & sensory load today
Running lowabout 3 hours of capacity left
Sleep was 5h 24m · 142 phone pickups so far · 1 high-load meeting at 2 PM. Decompression suggested before evening.
Streak ▼ best 41
2 days
Streaks aren't the goal — they're a signal. You broke this one on April 18 for a reason.
Check-in · from BridgeKPI
Matthew — the last six weeks look heavy. April was a lot at once: your own MRI scare in the first half of the month, then your dad's news three days after you got your results back. Your data shows what your body has been carrying since — sleep fighting you, runs paused on the 18th, goals you set in March feeling further away. That's information, not failure. Most of the patterns underneath are downstream of one thing. Want to look at it with me, or pass on this one?

Goals you've set

Edit
11 goals across 4 domains · BridgeKPI watches passively in the background
🌙
Sleep 7+ hours, in bed by 11 PM
Last 14 days: 5h 24m avg · in bed by 2:14 AM median · slipping since Apr 4
Off-track
🏃
Run 3× per week · half-marathon in October
Strava: last run April 17 · gym membership unused since April 18 · paused 38 days
Paused
🥘
Cook dinner at home 4× per week
DoorDash: 22 orders / mo · grocery spend down 78% · replaced by delivery
Off-track
💰
Save $400/mo to emergency fund
Auto-transfer hitting on schedule · 21 of 21 months · on track because you automated it
On track
💳
Keep discretionary spend under $500/mo
This month: $2,084 · 43% of purchases between 11 PM and 3 AM · night-window spending
Off-track
💬
Weekly call with mom
Last 6 weeks: 1 call (was 6 of 6) · missed 5 in a row
Off-track
🎨
Procreate · 3 finished pieces this quarter
Procreate: 0 sessions since March 31 · not the goal that needs attention right now
Paused
🧠
Weekly therapy with Dr. Reyes
Attended every session since 2023 · never broken this one — that matters
On track
💊
Take Sertraline daily
93% adherence over 21 months · strong, even under the current stress
On track

Patterns BridgeKPI sees

All insights
✦
Cross-domain · last 30 days
When your sleep drops below 6 hours, your spending the next night goes up by an average of $84 — and your mom-call goal is 3× more likely to slip that week.
These goals look unrelated. They're not. The most useful thing the system can tell you is which goal upstream affects the others — so you can put your energy where it actually moves the chain. For you, sleep is the upstream lever. Most of your other goals are downstream of how you slept the night before.
Upstream
Sleep drops below 6h
12 of last 14 nights
→
Cascades to
Night-window spending +$84
r = −0.58 with sleep
→
Downstream
Social goals slip
3× more likely that week

Where your data comes from

Sources
Apple Health, Plaid, your calendar, Strava, Spotify, screen time. You haven't logged anything to make these cards exist. That's the whole point — your goals get measured against what you actually do, not what you remember to log.
Sleep6:30 AM ›
Time Asleep
5h 24min
Activity9:41 AM ›
Steps
2,140
Exercise
0min
State of Mind9:15 AM ›
Today
Slightly Unpleasant
Heavy · Drained · Stuck
Resting Heart Rate7:00 AM ›
Avg this week
74BPM
▲ 9 from baseline
Screen TimeToday ›
Yesterday
9h 32m
▲ 83% from baseline
ConnectionToday ›
Outgoing msgs / day
3 avg
▼ 67% from baseline 14
FinancesToday ›
Late-night spending
+340%
43% of purchases · 11 PM – 3 AM
Show All Health Data›

Your medical context

Full record
A clean view of what is actively part of your care — what you are taking, who you are seeing, what is coming up. Not the clinical interpretation underneath, just the facts about your care.
What you are taking
Sertraline 100mg daily
21 months · 93% adherence · prescribed by Dr. K. Almeida
Cetirizine 10mg PRN seasonal · Vitamin D3 2,000 IU daily
Therapy
Weekly with Dr. E. Reyes, PsyD
22 sessions YTD · never missed · next Thursday 4 PM
Last session: Wednesday · 50 minutes · in-person
April care timeline
Apr 4: MRI brain · Apr 15: result returned benign · Apr 18: your dad got his MRI back · Apr 22: labs ordered by Dr. Patel · Apr 24: labs reviewed.
Your care team is in sync. If you want to talk through anything from this stretch, your therapy session Thursday is the right place.
Coming up
Thursday 4 PM · therapy with Dr. Reyes
June 5 · repeat thyroid labs (Dr. Patel)
June 12 · endocrinology intake (Dr. Han)
When you are ready · financial counseling with J. Okafor LCSW
How BridgeKPI works

A goal app that knows your life — without you having to tell it everything

1
You set goals
In your own words — sleep, money, relationships, creative, work, recovery, whatever matters.
2
Your data shows up on its own
Apple Health, Plaid, calendar, screen time, your apps. No daily logging. No streak shame. Just signal.
3
Patterns come into focus
Cross-domain insights show what's actually upstream of what. Energy and sensory load tracked alongside it all.
4
You choose what to share
Your therapist sees mood. Your PCP sees activity. Your financial counselor sees spending. Nobody sees more than you grant.
5
Designed with neurodivergent users
Built with — not just for — autistic and ADHD adults. Energy management and sensory load are core features, not afterthoughts.
6
Your data is yours
Export anything. Revoke anything. Delete everything. BridgeKPI never sells data; ads aren't the business model.
‹ My view
Goals
11 active goals · structured with SMART framework · 3 on track · BridgeKPI watches passively · you adjust anytime
Why we use SMART goals
Vague goals like "exercise more" or "spend less" are hard to track and easy to feel guilty about. SMART structure — Specific, Measurable, Achievable, Relevant, Time-bound — gives BridgeKPI something concrete to measure passively, and gives you something concrete to feel proud of when it happens.
S
Specific
M
Measurable
A
Achievable
R
Relevant
T
Time-bound
All · 11
Health · 4
Finance · 3
Social · 2
Creative · 2

Location-confirmed pattern

How this works
Reduce Starbucks visits to 2x per week
Goal set March 14 · this month: 6 visits detected · target: 8 visits for the month
75% of target
SPECIFIC
Starbucks visits, all locations
MEASURABLE
2 per week, 8 per month
ACHIEVABLE
Down from 12/wk baseline
RELEVANT
Caffeine intake + spending
TIME-BOUND
Through June 30
How we confirmed this pattern
P
Plaid: 6 transactions
$4.85, $5.20, $6.10, $4.85, $5.95, $5.20 · all charged to your Chase Sapphire
iPhone Locations: 5+ min dwell
All 6 transactions had a location match within 60 seconds and dwell time of 8–34 minutes
Why we cross-check: A transaction alone could be someone else borrowing your card. A location alone could be a meeting at a coffee shop. Together they confirm you were there, drinking coffee, for long enough to count.
The pattern BridgeKPI noticed
5 of your 6 Starbucks visits this month were on Tuesday afternoons between 4:30 and 5:30 PM — right after your therapy session with Dr. Reyes. The 30 minutes there averages 22 minutes of dwell time.
Reflection prompt · not a verdict
We noticed you visit Starbucks on Tuesday afternoons after therapy. Is it a wind-down ritual that helps you process? Is it filling something else? Is it just where the parking is easy? There is no wrong answer — but naming it makes the choice yours.

Shared with friends

Manage in Sharing
Goals you are doing alongside someone you trust — companionship, not competition. Your friend sees their own progress and the fact that you are still in it; never your specific data.
Run 3x per week, 3 miles minimum
PC
with Priya
Health · Strava-confirmed · shared since March 8
Paused
YOU · THIS WEEK
0 of 3 · last run April 17 · resting
PRIYA · THIS WEEK
2 of 3 · steady stretch
Priya has been on a steady stretch — want to send a note? She does not see your run count, only that you are still in the goal.
No screens after 10 PM
DT
with Devon
Health · iOS Screen Time confirmed · shared since February 1
2 of 7 nights
YOU · THIS WEEK
2 of 7 nights · late stretch has been hard
DEVON · THIS WEEK
5 of 7 nights · holding the line
Devon mentioned he could not sleep last Tuesday either — you are not alone in this. He does not see what apps you used, only that you are still in it.

All goals

+ New goal
In bed by 11 PM, 5 nights per week
Health · started Feb 4 · target through end of Q2
Off track
S
In bed by 11 PM
M
5 of 7 nights
A
Was 6/7 in Feb
R
Sleep upstream
T
Through June
This week: 2 of 7 nights on target · Apple Health + iPhone usage confirm late nights · BridgeKPI sees the April stretch hit this goal hardest
Run 3x per week, 3 miles minimum
Health · shared with Priya · started March 8
Paused
S
3-mile runs
M
Strava-confirmed
A
8 runs in March
R
Mental + body
T
Ongoing
Paused April 18 · last run was the morning your dad called · when your body is ready, the goal is here · you do not have to restart from zero
Entertainment spending under $400 per month
Finance · started Jan 1 · monthly reset
Over by $1,360
S
Entertainment cat.
M
Under $400
A
Was $380 Feb
R
Save for trip
T
Monthly
April: $1,760 detected · 43% of spending happened between 11 PM and 3 AM · this is the late-night spending pattern BridgeKPI flagged in your cross-domain insight
Cook one meal at home per day
Health · started Feb 14 · streak counter off (anti-shame)
On track
S
One home meal
M
Per day
A
5 of 7 days OK
R
Cost + nutrition
T
Ongoing
Grocery transactions + the absence of delivery receipts confirm 5 of 7 days this week · could be a candidate for sharing with a friend if you want a buddy
No late-night drive-through visits
Health + Finance · location-pinned · gentle real-time nudges opted in
3 detected this month
S
After 10 PM, fast food
M
Location + Plaid
A
Was 7/mo, now 3
R
Sleep + spending
T
Ongoing
Pinned locations
Any McDonald's
Any Taco Bell
Wendy's on Charlotte Pike
How nudges work for this goal: You opted in to gentle real-time support. If you are near a pinned location after 10 PM, BridgeKPI may send one soft notification — never punitive, never multiple. The notification is a question, not a verdict: "You are near McDonald's at 11:14 PM. What is going on tonight? No wrong answer."
A note on the SMART framework for our users
SMART structure helps BridgeKPI know what to measure and helps you know what counts as a win. But we hold it loosely. Falling off a goal is not a failure — it is data. A goal you paused in April because life got heavy is not a goal you broke. It is a goal that is waiting for you. You can edit any letter of any goal at any time. You can pause without explanation. You can delete without guilt. The framework is here to serve you, not the other way around.
‹ My view
Sharing with my care team
3 providers currently have access · revoke or pause any of them at any time · audit log shows every view
You decide who sees what. Your clinicians get the slice that helps them help you — and nothing else. You can revoke any of this at any time.
ER
Dr. Elena Reyes, PsyD
Therapist · sees mood, sleep, social, goals, journal sentiment · last viewed Sun
JP
Dr. Julian Patel, MD
PCP · sees activity, sleep, weight, meds adherence · no financial or social data
JO
Jamal Okafor, LCSW (financial therapist)
Sees spending patterns + financial goals only · not yet active — schedule when ready
Therapy notes stay sealed. Dr. Reyes's session notes are protected by HIPAA's psychotherapy notes rule. Even if other providers see your BridgeKPI data, they can't see what you talk about in therapy.
Recent activity from your care team
ER
Dr. Reyes reviewed your last 6 weeks of data before your Wednesday session
2 days ago
JP
Dr. Patel reviewed your lab results and referred you to endocrinology (Dr. Han)
Apr 24
JP
Dr. Patel ordered baseline labs based on what you discussed
Apr 22
ER
Dr. Reyes added Jamal Okafor LCSW (financial counselor) as a referral option for you
Apr 28
Every time someone on your care team views your data, you see it here. They know you can see this. That is the design.

What each provider can see

Auto-saved
Each clinician sees only the data categories that help them help you. Toggle any category off and they immediately lose access to that data stream. Changes apply instantly and are logged.
ER
Dr. Elena Reyes, PsyD · therapy
5 of 9 data categories enabled · session sentiment is the most recent view
Mood & journal sentiment
Sleep patterns
Social & communication
Goals & progress
Activity & movement
Finances
Medical labs & vitals
Medications
Screen time
JP
Dr. Julian Patel, MD · primary care
6 of 9 data categories enabled · reviewed your April labs last week
Activity & movement
Sleep patterns
Medical labs & vitals
Medications
Weight & body
Symptoms
Mood & journal sentiment
Finances
Social & communication

Family & care partners

Add someone
People outside your clinical care team who can see a defined slice of your data. Different rules apply: family members see goals and high-level wellbeing, never raw clinical data or screener scores.
SW
Sarah Wright · partner
Sees: high-level mood trend, goal momentum, sleep quality summary · never raw data, never specifics
JW
Joanne Wright · mother · emergency contact only
Sees: nothing by default · receives an alert only if BridgeKPI detects a crisis pattern and you have not responded to a check-in for 72 hours

Close friends

Add a friend
For a lot of people — especially those of us who built our own chosen family — close friends are the support system that matters most. Friends see way less than clinicians or partners, but enough to be there when you need someone. They never see raw data, financial information, or anything clinical.
DT
Devon Tran · close friend
Tier: close · sees high-level mood trend, "doing well / hard week / quiet stretch" status, gets a gentle nudge to reach out when BridgeKPI sees you withdrawing · never sees specifics
PC
Priya Chen · running buddy
Tier: light · sees running activity only · gets a heads-up if you have not run in 2+ weeks · everything else stays private
MK
Marcus King · old college friend
Tier: paused · you stepped back from sharing in February · re-enable anytime, no awkward notification
Goals you are doing alongside friends
Shared goals show both of you working on the same thing — never ranked, never head-to-head. The point is companionship, not competition.
Run 3x per week
with Priya · started March 8
Priya ran Tuesday and Saturday — she has been steady this month
You · this week0 of 3
Last run April 17 · your body is resting · that is okay
Priya · this week2 of 3
Priya does not see your run count — only that you are still in the goal
Priya has been on a steady stretch — want to send a note?
No screens after 10 PM
with Devon · started February 1
Devon has been holding the line — 5 nights this week
You · this week2 of 7 nights
Late-night nights have been hard during this stretch · you are still working on it
Devon · this week5 of 7 nights
Devon does not see what apps you used — only that you are still in this with him
Devon mentioned he could not sleep last Tuesday either — you are not alone in this
You have one more goal that could be shared if you want a buddy on it: Cook one meal at home per day
We do not do leaderboards. Competition motivates a certain kind of brain; for a lot of our users it just creates shame. Shared goals are about doing things alongside people you trust, not against them. Your friend never sees a rank, never sees you behind, never sees you fall off. They see that you are still in it. That is enough.
How friend tiers work
Close
High-level mood trend, "doing well / hard week" status, isolation-detection nudges
Activity-only
A single shared goal stream (running, gym, creative practice) — accountability without intimacy
Light
Just "Matthew is okay this week" — no detail, no patterns, just a heartbeat
A note on how reach-out nudges work
When BridgeKPI notices you have been quieter than usual, your close friends might get a soft "hey, you should check on Matthew" prompt. They never see why. They do not see your mood data, your journal, your patterns. They just get a gentle nudge from someone who already cares about you. The point is keeping you connected, not surveilling you for them. You can turn this off any time, or set it to fire only when patterns get severe.

Research participation

Learn more
Contribute anonymized data to neurodivergent adult research
BridgeKPI partners with academic research institutions studying mental health and neurodivergence in adults. Your data — stripped of identifying details — could help researchers understand what kinds of support actually work. Every research partner must pass our review and use IRB-approved protocols. You can withdraw your data at any time, including data already contributed to past studies.
What is contributed
Anonymized aggregate patterns — never identifying details, never your journal contents, never specifics that could re-identify you
Who decides what is shared
You do — at category level. You can opt in to sleep data but not finances. You can pause at any time.
Currently not participating · opt-in is fully reversible

Share a one-time snapshot

Need to send your data to someone outside your care team — a specialist you are seeing once, a second opinion, a clinician you are evaluating? Generate a time-limited link that expires automatically. They do not get an account, they do not get access to live data, they get a read-only view of the slice you choose.
Duration
72 hours
Categories
Choose what to include
Access
Read-only · no live data

Emergency access

Break-glass access in a crisis
If you are in a verified medical emergency, designated providers can access your full data for 24 hours without your real-time approval. Currently designated: Dr. Reyes (therapist) and Dr. Patel (PCP). Every break-glass access generates an alert to you, your emergency contact, and creates an immutable audit entry. This protects you in genuine crises while preserving accountability.
Last activated: never

Consent actions

Add a new provider or care partner
Send a secure invitation by email or generate a code they can enter
Export your consent record
A full history of who has had access to what data, when, and what they viewed · downloadable as PDF or JSON
Pause all sharing
Temporarily revoke access from everyone · no data flows until you re-enable · clinicians are notified that access is paused, not why
The consent principle
BridgeKPI takes the position that your data is yours, full stop. Sharing is consent-first, granular, reversible, and observable. Your care team knows what you can see, when they viewed your data, and that you can revoke at any time. There is no hidden access, no fine print, no opt-out you can be talked into. The transparency is the design.
‹ My view
Connectors
14 data sources connected · last sync today at 8:14 AM · revoke or pause any source at any time
Why connectors matter. Every connector here is a passive data source — connect it once, BridgeKPI does the rest. You can disconnect any source instantly. We never sell or share connector data with anyone outside your chosen care team.

Health and activity

Add source
+
Apple Health
Sleep, heart, activity, mindfulness, workouts · last sync 8:14 AM today
Connected
S
Strava
Runs, rides, hikes · last activity April 17 · 38 days since last run
Connected
O
Oura Ring
Sleep stages, HRV, body temp, readiness · last sync this morning
Connected

Financial

Add source
P
Plaid · linked to 3 accounts
Checking, savings, credit card · transaction-level data · last sync 8:12 AM
Connected

Calendar and communication

Add source
G
Google Calendar
Event metadata only — never event contents · used for routine and energy load patterns
Connected
iM
iMessage and phone metadata
Volume and timing only · never content · powers the connection goal tracking
Connected

Apps and media

Add source
S
Spotify
Listening volume, valence, genre shifts · last sync this morning
Connected
ST
Screen Time (iOS)
App categories, pickups, first/last use · category-level only, no individual app content
Connected
PR
Procreate
Session count and duration · last active March 31 (paused goal)
Idle

Clinical

Add source
Rx
CVS Pharmacy
Refill dates and dispense events only (no patient instructions) · feeds adherence tracking
Connected
P
Piedmont Patient Portal
Appointment metadata, lab order events · FHIR-bridged to your PCP records
Connected
Available but not connected
You have 3 sources available but not yet connected: Garmin (alternative wearable), Whoop (alternative wearable), Notion (journaling). Adding more sources never costs anything; we only use what helps your goals.
‹ My view
Settings
Account · privacy · accessibility · notifications · data export · everything you control

Account

Matthew Wright
matthew.wright@example.com · member since Aug 2023
Subscription
BridgeKPI+ · $29.99/mo · next renewal June 15

Privacy and data

Who can see my data
3 providers currently have granted access · revoke any at any time
Data export
Download all your BridgeKPI data as CSV or FHIR · everything, anytime
Delete my account and all data
Permanent · we keep nothing · clinicians retain anything they have copied to their own records

Accessibility

BridgeKPI was designed with neurodivergent adults in mind. These settings are first-class features, not afterthoughts.
Reduced motion
Disable animations and transitions throughout the app
Sensory-low mode
Muted colors, reduced contrast, no sparkle animations · for sensory regulation
Hide streak counters
For users for whom streak metaphors create shame · the data is still tracked, just not shown to you
Communication preference
How BridgeKPI talks to you · text-only check-ins, no voice notifications, longer reading time
Font size and weight
Dynamic Type · larger text · higher contrast

Notifications

Check-in cadence
Currently: weekly · option to lower frequency, never increases without your input
Quiet hours
No notifications 10 PM – 9 AM · BridgeKPI never sends late-night nudges
Goal nudges
How BridgeKPI helps you stay aligned with your goals. The default is reflection-based, not interception-based, because pattern reflection tends to work better than in-the-moment alerts — especially for ADHD and autistic users.
Your data, your terms
BridgeKPI never sells data, never serves ads, never uses your data to train models without your explicit opt-in. The business model is your subscription and enterprise contracts with the practices and employers who want to support their clinicians. That is it.
Your transparency view · what your care team sees
This is exactly what Dr. Reyes sees when you give her access — the slice you've granted, nothing more. You can revoke any of this at any time. Every time a provider views your data, you see it logged here.
M
Matthew Wright
34 M · MRN 4471-298 · Est. patient since 2023-08 · Provider: Dr. E. Reyes
Data span
14 mo
Adherence Δ
−55%
Next visit
Thu 4 PM
!
Convergent decline across 5 behavioral domains · compound stressor context · 6-week window
Sleep, movement, social engagement, financial regulation, and goal adherence all trending downward simultaneously since early April. The system has identified two stacking precipitants: (1) Matthew's own brain MRI workup Apr 4 → 11-day wait for senior re-read → benign Virchow-Robin variant Apr 15 (Dr. Reuben + Dr. Okonkwo) and (2) father's MRI Apr 18 showing brain lesion (disclosed May 21 session). Hereditary anxiety amplified both events. Apr 22 labs add a treatable medical layer: TSH 4.8, Vit D 18, ferritin 22 (Dr. Patel). Pattern strength: high. No C-SSRS triggers; CPTSD and late-recognized neurodivergence framings are open pending direct assessment.

Multi-domain longitudinal pattern

Standardized z-scores against patient's own 12-month baseline · lower = below baseline
+1σ baseline −1σ Apr 18 · inflection Feb 26 Mar 26 Apr 26 May 26
Sleep regularity
Physical activity
Outgoing communication
Financial regularity
Mood self-report
✦ AI Pre-Visit Summary · provider-only
Generated 8:14 AM · model v4.7

Since mid-April, Matthew's behavioral signals have shifted in a temporally clustered way. The strongest pattern is convergent psychomotor and circadian disruption: sleep duration dropped from a 7h baseline to ~5.4h with delayed sleep onset, daily step count fell 71%, and meal regularity collapsed. Concurrently, social engagement markers decreased and goal adherence dropped from 78% to 23%. Medication adherence (93%) and therapy attendance held — these are strengths worth noting explicitly.

The data is consistent with multiple framings, all of which the AI is holding open:

(1) Single MDD episode — features fit, but episode-level framings warrant durability assessment beyond the current 6-week window. (2) Adjustment Disorder with Depressed Mood — the April 18 inflection coincides with an identifiable compound stressor (own brain MRI scare Apr 4–15 + father's MRI Apr 18 per Dr. Reyes's May 21 session notes); ADW-DM may be the more accurate frame if symptoms remain stressor-coupled. (3) Trauma-spectrum (ICD-11 PTSD or CPTSD) — passive data shows arousal and avoidance signals; intrusion symptoms and trauma history are not visible in passive data and require direct assessment. CPTSD specifically is not in DSM-5-TR but is a commonly missed framework. (4) Late-recognized autism and/or ADHD presenting as recurrent treatment-partial depression — this is the framework most often missed in adults who are verbally articulate, cognitively capable, and work-integrated. What looks like a depressive episode triggered by stress may, in some patients, be autistic burnout — the predictable result of sustained sensory and social load without recovery infrastructure. The same data points can mean very different things depending on which framework you read them through. Recommend AQ-10 or RAADS-R + ASRS-v1.1 screening alongside LEC-5 + ITQ for trauma.

Financial behavior shows night-window patterns (entertainment spend +340%, late-night purchases 11pm–3am). This looks like it could be hypomanic-spectrum but the full pattern (no energy elevation, no sleep-need reduction, mood-congruent consumption, high return rate) argues against bipolar. Pattern is mood-coupled, not bipolar-spectrum based on currently visible data — but MDQ recommended given the 10+ year average delay in bipolar II diagnosis.

Screen time +83% with passive-consumption dominant (social media +214%, late-night scrolling clustering 11 PM–3 AM). Active communication dropped 61% concurrently — Matthew is on his phone more but talking to people less.

No safety triggers fired (C-SSRS clean). Recommend in-session safety screen regardless. Suggested Thursday priorities: PHQ-9 + GAD-7, LEC-5 + ITQ for trauma-spectrum framings + AQ-10 / ASRS-v1.1 for neurodevelopmental framings, MDQ for bipolar-spectrum awareness, explore precipitants around April 4–18 (own MRI + father's MRI), review medication response, safety check, collaborative behavioral activation plan. Hold the differential open longer than feels comfortable — the wrong framing here is more costly than the indecision, and the framings the U.S. system most often misses are exactly the ones most consequential to miss.

Behavioral pattern mapping

Observed signals cross-referenced against major clinical frameworks · for clinician interpretation only
Decision support — not a diagnosis. BridgeKPI does not assign codes; clinician judgment is required for all interpretation and care decisions.
DSM-5-TR (APA, 2022). Observed behavioral data mapped to symptom criteria that warrant clinical interrogation — not to assign a diagnosis. Note: DSM-5-TR does not include Complex PTSD; ICD-11 does (6B41). When considering trauma-spectrum framings, switch to the ICD-11 tab.
DSM-5-TR · 296.22 · Criterion A1
Depressed mood most of the day
Voice journal sentiment: −0.62 (from +0.18 baseline). Terms "heavy", "tired of", "what's the point" in 9 of 14 entries.
Pattern present
DSM-5-TR · Criterion A2
Markedly diminished interest / anhedonia
Music listening −58%. Hobby app sessions 0 in 5 weeks vs 4–6/week prior. Declined social events ×6.
Pattern present
DSM-5-TR · Criterion A4
Insomnia / sleep disturbance
Avg 5h 24m for 12 of 14 nights. Sleep latency >45min in 8 nights.
Pattern present
DSM-5-TR · Criterion A6
Fatigue / loss of energy
Steps 2,140 vs 7,400 baseline. Self-report energy 3.1/10. Voice prosody: lower pitch variability.
Pattern present
DSM-5-TR · Criterion A8
Diminished concentration / indecisiveness
Calendar reschedules ×14 (baseline ×2). Email drafts saved-not-sent: 23. Goal completion 23% vs 78%.
Partial — verify in-session
DSM-5-TR · F41.1 · GAD Crit. 5
Sleep disturbance (anxiety overlap)
Late-night ruminative journal entries: 11 in 14 days. Worry-language elevated.
Co-occurring features
DSM-5-TR · F32 · Specifier
With anxious distress
Both depressive and anxious-spectrum features coexist; warrants specifier consideration if MDD threshold met.
Discuss
DSM-5-TR · F31 · Bipolar diff.
Hypomanic / manic features
Spending increase noted, without reduced sleep need, elevated activity, or expansive mood. Does not support hypomania.
Differential cleared
DSM-5-TR · Substance-related
Substance use disturbance
Caffeine 4.6 cups/day (elevated). Alcohol purchase data flat. AUDIT-C recommended.
Screen recommended
DSM-5-TR · ADHD diff.
Inattention / executive dysfunction
Acute (past 6 weeks), not lifelong pattern. Likely secondary to mood, not primary ADHD.
Acute, not trait
DSM-5-TR · 309.81 · PTSD
Post-traumatic stress disorder · partial
Sleep-arousal items present (insomnia, 4 AM wake, elevated HR), some avoidance markers (declined family contact, abandoned running on stressor day). Intrusion symptoms and Criterion A trauma evaluation require direct assessment. DSM-5-TR has no CPTSD equivalent — if trauma-spectrum framing is warranted, see ICD-11 6B41.
Assess directly
DSM-5-TR · 309.0 · Adjustment
Adjustment Disorder with Depressed Mood
Strong differential vs MDD given identifiable stressor (April 18 / father's MRI) and timing. ADW-DM may be the more accurate frame if symptoms remain stressor-coupled and resolve within 6 months — distinction matters for prognosis and treatment intensity.
Hold open vs MDD
ICD-11 (WHO, 2022). Cross-referential mapping, not diagnostic. ICD-11 recognizes several stress-related conditions not present in DSM-5-TR — particularly Complex PTSD (6B41) and Prolonged Grief Disorder (6B42) — which are worth holding open even when DSM-5-TR frames lean toward MDD.
ICD-11 · 6A70
Single episode depressive disorder · features observed
Depressed mood + anhedonia + reduced energy + sleep disturbance + reduced concentration co-occurring >2 weeks.
Convergent signals
ICD-11 · 6B00
Generalised anxiety disorder · partial
Worry-themed journaling, sleep latency, somatic restlessness. Duration assessment needed.
Discuss
ICD-11 · 6B23
Adjustment disorder · strong differential
April 18 inflection coincides with identifiable interpersonal stressor (father's MRI). Onset within 1 month of stressor, symptoms tied to stressor, <6 months duration so far. Could be a better fit than MDD.
Hold open vs MDD
ICD-11 · 6B40 · PTSD
Post-Traumatic Stress Disorder · partial signals
Hyperarousal markers present (sleep onset, HR/HRV, 4 AM wake). Avoidance signals (declined family contact, abandoned running on day of stressor). Intrusion symptoms not detectable in passive data — direct assessment needed. Criterion A trauma threshold not yet evaluated; the father's diagnosis news may or may not qualify.
Screen with ITQ
ICD-11 · 6B41 · Complex PTSD
Complex PTSD · cannot rule out without history
CPTSD requires PTSD criteria PLUS persistent affect dysregulation, negative self-concept, and disturbance in relationships — typically following prolonged or repeated trauma. Passive behavioral data cannot detect prior trauma history. Matthew's pre-April baseline (14 months) was healthy, which makes a current CPTSD episode less likely — but unrecognized historical trauma activated by current stressor is a known pattern that is systematically missed in patients who present as articulate, capable, and high-masking, and is often misdiagnosed as treatment-resistant MDD. Worth direct trauma-history screening (LEC-5) regardless of presentation.
Assess directly
ICD-11 · 6B42 · Prolonged Grief Disorder
Anticipatory grief consideration
Matthew's stressor is a pending loss (father's diagnosis), not a completed one. PGD per se requires >6 months post-bereavement. However, anticipatory grief shares features with depressive presentations and is conceptually adjacent — worth naming in formulation so it's not pathologized as primary MDD.
Frame, not diagnose
ICD-11 · 6C40
Disorders due to substance use
No purchase/location indicators. AUDIT-C and DAST-10 advised.
Screen
ICD-11 · 6D10
Personality disorder · trait-based
14-month longitudinal data shows stable functioning prior to April. State-level dysfunction, not trait. Important to be alert to misdiagnosis here — CPTSD is historically mislabeled as BPD across populations (well-documented gendered pattern in women, but also a risk in men whose trauma responses get pathologized as anger or detachment); symptom overlap is high; trauma history is the discriminator.
Not indicated · avoid mislabeling
ICD-11 · QD85
Burnout (Z-code, occupational)
Work-app hours +28%, after-hours messages +44%, vacation untaken 11 months.
Co-factor likely
RDoC (NIMH). Dimensional framework organizing functioning across six neurobehavioral systems.
RDoC · Negative Valence Systems
Loss · sustained threat
Persistent low mood, withdrawal, anhedonic-spectrum signals. Sustained negative-valence engagement.
Strong signal
RDoC · Positive Valence Systems
Reward responsiveness · reduced
Hobbies abandoned, music engagement down, declined social rewards. Reward-anticipation blunted.
Strong signal
RDoC · Cognitive Systems
Cognitive control · degraded
Goal-pursuit decay, task churn, decision-deferral. Likely state-dependent.
State-dependent
RDoC · Social Processes
Affiliation & attachment · disengagement
Outgoing communication −67%; close-tie maintenance lapsed (mother, partner).
Active withdrawal
RDoC · Arousal & Regulatory
Sleep–wake regulation disrupted
Phase delay, fragmentation, fatigue with insomnia.
Strong signal
RDoC · Sensorimotor Systems
Motor activity · reduced
Step count, gait cadence, active-minutes all reduced.
Observe in-session
HiTOP. Dimensional alternative to DSM/ICD organized empirically across spectra and subfactors.
HiTOP · Internalizing spectrum
Distress subfactor
Depressive + anxious features cluster together — classic distress-subfactor pattern.
Strong loading
HiTOP · Internalizing
Fear subfactor
Some avoidance and threat-vigilance, but predominantly distress-coded.
Secondary
HiTOP · Disinhibited Externalizing
Impulsivity dimension
Spending impulsivity is mood-congruent, not trait-disinhibited.
Mood-coupled
HiTOP · Detachment
Social withdrawal dimension
Acute rather than trait detachment. Not stable in 14-month data.
State, not trait
HiTOP · Thought Disorder
Reality-testing dimension
No signals from communication patterns, voice journals, or behavioral logs.
No signal
HiTOP · Somatoform
Somatic complaint dimension
Fatigue, sleep disturbance — consistent with internalizing-distress.
Secondary
PDM-2. Complements descriptive systems with personality patterns, mental functioning, and subjective experience.
PDM-2 · M Axis
Mental functioning · regulation capacity
Mood, sleep, behavioral regulation degraded acutely. Reflective functioning likely temporarily reduced.
Acutely impaired
PDM-2 · P Axis
Personality patterns
Pre-April baseline suggests adaptive functioning. Insufficient data from behavior alone.
Clinician assessment
PDM-2 · S Axis
Subjective experience · symptom pattern
Patient's own language: "heavy", "stuck", "going through the motions".
Self-reported
PDM-2 · Capacity for relationships
Object-relational
Close ties maintained as goals (calls mom, partner texts), even when execution fails.
Capacity preserved
WHO ICF. Maps impact of conditions on everyday functioning.
ICF · b130 · Energy & drive
Significant limitation
Steps, task initiation, energy 60–70% below baseline.
Moderate-severe
ICF · b134 · Sleep functions
Quantity, onset, maintenance
All three sleep domains impaired across >14 nights.
Moderate
ICF · d230 · Daily routine
Routine execution
Morning/evening routine completion ~30% of baseline.
Moderate
ICF · d750 · Social relationships
Maintaining relationships
Outgoing communication and event attendance significantly reduced.
Moderate
ICF · d850 · Employment
Work performance
After-hours work compensating for daytime efficiency loss.
At-risk
ICF · d870 · Economic self-sufficiency
Managing finances
Bill-pay timeliness and budget adherence slipping.
Mild

Differential considerations · multiple framings held open

The AI deliberately does not collapse to a single diagnosis. Passive behavioral data has known blind spots — trauma history, family history, prior episodes, cultural context, in-session affect — that only direct clinical assessment can resolve.
What passive data can and cannot tell you about Matthew:
  • Can see: behavioral pattern, longitudinal trajectory, magnitude of change, cross-domain coupling, timing of inflection.
  • Cannot see: trauma history (current or childhood), family psychiatric history, prior episodes pre-2023, in-session affect quality, cultural meaning of stressor, Matthew's subjective narrative.
  • Implication: the framings below are weighted by what the data can evaluate. Confidence is limited by the resolvable signal — not the underlying complexity of the patient.
Best fit for available data · moderate confidence
Primary framing
Reactive depressive episode — MDD or Adjustment Disorder spectrum
5+ MDD A-criteria present (depressed mood, anhedonia, sleep disturbance, fatigue, concentration loss, unintentional weight loss). 5+ week duration. Identifiable interpersonal stressor (Apr 18 father's MRI). The MDD vs. Adjustment Disorder distinction is real and matters for prognosis — Adjustment Disorder remits with stressor resolution, MDD may not. Anxious distress specifier features present in both framings.
Cannot rule out without direct history · screen recommended
Trauma-spectrum
ICD-11 Complex PTSD (6B41) · PTSD (6B40) · Anticipatory grief

This is the framing the AI most needs the clinician to evaluate. CPTSD is not in DSM-5-TR and is therefore systematically under-considered in U.S. clinical practice. It commonly presents as MDD + GAD with affect dysregulation and is one of the most clinically consequential missed diagnoses — wrong frame leads to wrong treatment.

Matthew's pre-April baseline was healthy, which makes a current CPTSD episode less likely. But unrecognized historical trauma activated by current interpersonal stressor is a known clinical pattern — and one that's systematically missed in patients who present as cognitively capable, verbally articulate, and high-masking. CPTSD requires direct trauma-history elicitation; it is not visible in 14 months of passive behavioral data alone.

For PTSD specifically: arousal/avoidance signals present; intrusion symptoms not detectable in passive data; Criterion A trauma evaluation requires direct interview.

For anticipatory grief: a meaningful framing because Matthew's stressor is a pending loss. Anticipatory grief shares features with depressive presentations but is conceptually distinct — pathologizing it as primary MDD risks medicalizing a normal human response.

Recommended assessment: LEC-5 (Life Events Checklist) for trauma history, ITQ (International Trauma Questionnaire) for CPTSD framework if indicated, direct exploration of family-of-origin and prior interpersonal history.
Currently unsupported · re-evaluate if history surfaces
Bipolar spectrum
Bipolar II / Bipolar-spectrum (DSM 296.89 · ICD 6A60)
Bipolar II is the most commonly missed bipolar presentation, often misdiagnosed as unipolar MDD for an average of 10+ years. The spending pattern looks like it could be hypomanic, but the full pattern is not (see Finances panel · "mood-congruent, not hypomanic"). 14-month longitudinal data shows no prior hypomanic episodes — but 14 months may not be enough to rule out infrequent cycling. MDQ recommended. Direct history of any prior period of decreased-sleep-with-elevated-energy is the discriminator.
Acute presentation, not lifelong · re-evaluate post-recovery
Executive function
Adult ADHD · executive function as primary vs secondary
Adult ADHD is systematically under-diagnosed when internalized symptoms (anxiety, mood, executive overwhelm) get treated for years before primary ADHD is recognized. Matthew's current executive dysfunction is acute (post-Apr 18), not lifelong, which argues against primary ADHD as the explanatory frame. However, if symptoms persist after mood recovery, or if Matthew describes lifelong patterns of organization difficulty, time-blindness, sustained-attention strain in low-interest contexts, or intense hyperfocus when engaged, ASRS-v1.1 screening is warranted. See separate autism / late-recognized neurodivergence consideration below — ADHD and autism frequently co-occur in adults and the diagnostic process for either may surface the other.
Late-recognized presentations frequently missed in adults · screen if pattern doesn't resolve
Autism · ADHD · late-recognized neurodivergence
Late-recognized autistic and/or ADHD presentation (CADDRA · DSM-5-TR 299.00 · ICD-11 6A02)

This deserves the same diagnostic humility as CPTSD. Late-recognized autism in adults — particularly in those who present as cognitively capable, work-integrated, and verbally articulate — is one of the most systematically missed clinical pictures in U.S. mental health practice. The signature is often years of cycling through depression and anxiety treatments with partial response, sometimes plus a single significant life stressor that produces what looks like an episode but is really autistic burnout — the predictable consequence of sustained sensory and social load without recovery infrastructure.

What the data could be telling a different story about: Some of what we read as "symptoms" — reduced social communication, withdrawal from sensory-loaded environments, executive overwhelm under stress, sleep disruption from sensory input — can be neurodivergent baselines rather than depressive features, especially when they intensify under stress and recover under accommodation. The same passive data point can mean very different things depending on whether the framework is depression or autistic burnout. Treatment that addresses one without considering the other often produces partial response at best.

Strengths the framework wouldn't naturally surface: Matthew's 14 months of consistent self-monitoring data, his exceptional medication adherence (93%) under significant distress, his ability to articulate the precipitating events when asked, and his preserved engagement with structured care — these are capabilities, not just baseline expected behavior. A strengths-based formulation accounts for what he is doing well alongside what he is struggling with.

Recommended assessment: AQ-10 or RAADS-R for autism screening as appropriate to clinical judgment, ASRS-v1.1 for adult ADHD. If administered, these should be framed not as "ruling in/out a disorder" but as "understanding how you experience the world" — language matters with patients who have been pathologized. Consider referral to a neurodevelopmental specialist who works affirmatively with adults; the diagnostic process itself can be iatrogenic if poorly handled.
Largely unsupported by current data
Bipolar I — no manic episode history or current signal.  ·  Primary substance use disorder — purchase, location, sleep, and metabolic data show no signal beyond elevated caffeine.  ·  Personality disorder (any cluster) — 14 months of stable pre-April functioning rules out trait-level pattern. Important: CPTSD is historically mislabeled as BPD across populations — be alert to this misattribution if affect dysregulation surfaces.  ·  Schizophrenia-spectrum — no positive symptoms, disorganized thought, or social-functional decline patterns consistent with primary psychosis.  ·  Primary somatic disorder — physical symptoms (fatigue, weight loss, HR changes) are explained by behavioral pattern; no signal of organic etiology, though baseline labs (CBC, TSH, CMP) advised to confirm.
A note on diagnostic humility. Holding multiple framings open is not indecision — it's the appropriate epistemic state when the data resolves some questions but not others. Collapsing prematurely to a single diagnosis (especially when CPTSD, bipolar II, late-recognized autism and ADHD, or grief framings are routinely under-detected) leads to wrong treatment more often than holding the differential open and screening directly does. The clinician's job is to integrate context the system cannot see; the system's job is to surface what to consider. Strengths-based and neurodiversity-affirming framings are explicitly held alongside deficit-based ones, because what the same data means depends on which framework you're reading it through.

Standardized screener recommendations

Projected scores from behavioral data · confirm with administered instruments
PHQ-9
Mod-Severe
Patient Health Questionnaire-9 · depression severity
~16
/ 27
Last admin: 76d ago (5)Send ›
GAD-7
Moderate
Generalized Anxiety Disorder-7
~11
/ 21
Never administeredSend ›
C-SSRS
No triggers
Columbia Suicide Severity Rating Scale
0
passive: 0
Admin in-sessionOpen ›
PCL-5
Sub-threshold
PTSD Checklist for DSM-5
~14
/ 80
Sleep+arousal flaggedSend ›
ITQ
Recommended
International Trauma Questionnaire · ICD-11 PTSD & CPTSD
—
administer to evaluate
CPTSD framework — DSM has no equivalentSend ›
LEC-5
Recommended
Life Events Checklist · trauma history
—
never administered
Foundational trauma screenSend ›
AQ-10
Recommended
Autism Spectrum Quotient · adult screening
—
never administered
Frame affirmatively · not deficit-basedSend ›
RAADS-R
Consider
Ritvo Autism Asperger Diagnostic Scale (adult)
—
if AQ-10 elevated
For deeper neurodevelopmental assessmentQueue ›
AUDIT-C
Low signal
Alcohol Use Disorders Test
~2
/ 12
StableSend ›
DAST-10
Low signal
Drug Abuse Screening Test
~0
/ 10
No indicatorsSend ›
MADRS
Clinician-rated
Montgomery-Åsberg Depression Rating
—
administer in-session
For severity trackingOpen ›
WHODAS 2.0
Elevated
WHO Disability Assessment
~28
/ 48
Function trackingSend ›
ASRS-v1.1
Low
Adult ADHD Self-Report Scale
~3
/ 6 part A
State-dependentSend ›
Y-BOCS
Not indicated
Yale-Brown OCD Scale
—
no indicators
No flags—
MDQ
Bipolar diff.
Mood Disorder Questionnaire
~2
/ 13
Low likelihoodSend ›
PSQI
Elevated
Pittsburgh Sleep Quality Index
~12
/ 21
Confirmed by passive dataSend ›

Behavioral signal timeline

Discrete events · last 14 days
2:14 AM journal: passive-affect language clusterMay 24
Missed 3rd weekly call with motherMay 22
Therapy session attended · adherentMay 21
Late-night spend cluster ($340 entertainment)May 20
Sleep onset 3:42 AM · 7th late-onset in rowMay 19
Outdoor time logged · 22 min walkMay 17
Calendar rescheduled: dinner with friend (3rd time)May 15
Workday energy self-report: 2/10May 14

Pre-visit notes

Drafts to discuss Thursday · auto-saves to chart
‹ Summary
Mental Wellbeing
Most relevant to: therapist, psychiatrist, primary care · 14 mo of data
M
Matthew Wright
34 M · Sertraline 100mg since Aug 2023 · Therapy weekly w/ Dr. Reyes
State of Mind avg
Slightly Unpleasant
▼ from "Pleasant" baseline
"Heavy", "drained", "stuck" dominant descriptors
Self-report mood
4.2/ 10
▼ 2.9 from baseline 7.1
Logs daily since 2023-09
Journal sentiment
−0.62
▼ from +0.18 (Mar)
14 entries past 14 days · 11 post-midnight
Mindfulness sessions
0/ wk
▼ from 4/wk in Feb
Calm + Apple Mindfulness both inactive

Mood state over time

Self-reported daily mood (1–10) overlaid with State of Mind logs · 90 days
10 · Best 5 1 · Worst Apr 18
Daily mood self-report (1–10)
Journal sentiment overlay
Below-baseline cluster (post-inflection)

Daily State of Mind · last 30 days

Logged via wellness app each evening · tap any day to see entry
MTWTFSS
27😊
28😊
29🙂
30🙂
1😐
2😐
3😕
4😕
5😐
6🙂
7😕
8😕
9☹️
10😕
11☹️
12☹️
13☹️
14😣
15☹️
16😐
17☹️
18😣
19☹️
20😣
21😐
22😣
23☹️
24😣
25☹️
26☹️
For the therapist

What's worth surfacing in session

Matthew's journal language has shifted from active to passive voice over the past 6 weeks. February entries used agentive constructions ("I decided", "I want to", "I'm going to"); May entries lean on receptive/depleted forms ("nothing matters", "I'm just tired", "what's the point"). This is consistent with the affect-action coupling literature on depressive cognition.

The April 18 inflection doesn't appear in his self-report — he hasn't named a precipitant. But across his data: a calendar event "Mom call: Dad's MRI" appears two days prior; voice journal mentions of family rise 4× that week and then drop entirely. Worth gently probing in session.

  • Behavioral activation candidates from his past data: drawing (Procreate, last active March 31), running (Strava, last active April 18 — same date), Sunday calls with mother.
  • Sleep–mood coupling is r = 0.71 in his data. Late-night journaling (11 entries post-midnight) is both a symptom and a maintaining factor. Worth pairing CBT-I with the depression work.
  • Therapeutic alliance is intact — Matthew has attended every session and rates them 8.5+/10 in post-session check-ins. Medication adherence has held at 93%. He is participating in care; the system is what's slipping.

Cross-domain correlations · Matthew's data

Sleep duration
r = +0.71
Step count
r = +0.58
Outgoing messages
r = +0.53
Late-night screen time
r = −0.64
Social-media use
r = −0.49
Skipped meals
r = −0.42
Higher r = stronger association with Matthew's self-reported daily mood. Positive = better mood, negative = worse mood.
✦ Suggested actions
‹ Summary
Nutrition
Most relevant to: dietitian, nutritionist, primary care, eating-disorder specialist
M
Matthew Wright
No food allergies on file · No prior ED dx · Last weight: 138 lb (May 23)
Meals logged / day
1.4
▼ from 3.1 baseline
Skipped breakfast 11 of 14 days
Avg daily intake
1,420kcal
▼ 530 kcal/day (~27%)
Below estimated TDEE of 2,050 kcal
Weight change · 5wk
−4lb
▼ 2.8% body weight
Unintentional · DSM-5 A3 criterion
Caffeine
4.6cups
▲ from 2.0 baseline
Last cup avg 4:42 PM (impacts sleep)

Eating window · last 14 days median

First meal to last meal · shaded zone = patient's typical eating window
First meal · 2:18 PM
Last meal · 11:42 PM
12 AM6 AM12 PM6 PM12 AM
Eating window has compressed to ~9.4 hours and shifted late (median first meal 2:18 PM vs 8:30 AM baseline). This is not deliberate time-restricted eating — Matthew is skipping breakfast involuntarily and pushing intake into evening/night. Pattern is associated with worse mood, sleep, and metabolic markers.

Macronutrient distribution

Last 14 days · % of logged intake
Carbs 52%
Fat 31%
Protein 17%
Protein intake estimated at ~60g/day — below the 0.8g/kg minimum for him.weight (~50g would be floor). Carb-fat dominance is consistent with delivery/takeout eating. Hydration: 28 oz water/day vs 62 oz baseline.

Cooking vs delivery

Last 30 days
Home-cooked meals0
Last cooked: April 28 · was 4–5 meals/wk baseline
Delivery orders22
2.8× baseline (was 8/mo)
Coffee shop visits14
Often replacing meals (espresso + pastry)

Food-related app usage

Time spent in food & delivery apps · last 30 days
D
DoorDash
Food delivery
11h 18m
▲ 380%
U
Uber Eats
Food delivery
6h 42m
▲ 240%
S
Starbucks
Coffee · order ahead
2h 04m
▲ 130%
M
MyFitnessPal
Calorie tracking
38m
▼ 72%
N
NYT Cooking
Recipes · meal planning
0m
▼ 100% · last open Apr 14
P
Paprika Recipe Manager
Meal planning
0m
▼ 100% · last open Apr 18
I
Instacart
Grocery delivery
18m
▼ 80% · last grocery order May 4
For the nutritionist / dietitian

What this picture tells you before you meet

Matthew's nutrition pattern is secondary to his mood shift, not a primary disorder, but it's now reinforcing it. He isn't dieting or restricting deliberately — he's forgetting and skipping. The behavioral signature is unmistakable:

  • Meal planning infrastructure abandoned April 18. Both NYT Cooking and Paprika went silent on the same date. The mental energy for "what am I going to eat" is gone.
  • Convenience apps have absorbed the gap. DoorDash up 380%, Uber Eats up 240%. Average order time clusters 9 PM – 12 AM — he eats once a day, late, fast.
  • Protein is the most actionable gap. ~60g/day estimated. Delivery patterns lean carb-heavy (Thai, pasta, pizza). Low protein is itself a fatigue-and-mood amplifier — a feedback loop.
  • Caffeine has replaced food as energy source. 4.6 cups/day, last cup median 4:42 PM. This degrades sleep, which degrades mood, which degrades appetite — closing the loop.
  • Unintentional weight loss (4 lb / 2.8% over 5 weeks) meets DSM-5 MDD Criterion A3 threshold. Worth flagging on the medical side.

Practical wins for a first session: protein-forward grab-and-go breakfast (no cooking required), reinstate one app reminder, move caffeine cutoff to noon, schedule one shared cooked meal/week with partner. Don't lead with meal planning — his executive bandwidth can't carry it right now.

Nutrition cross-correlations

Meals logged → mood next day
r = +0.48
Protein g → afternoon energy
r = +0.54
Caffeine after 3pm → sleep latency
r = −0.62
Skipped breakfast → afternoon screen time
r = −0.44
Hydration → energy self-report
r = +0.39
✦ Suggested actions
‹ Summary
Screen Time & App Usage
Most relevant to: therapist, psychiatrist, sleep specialist, nutritionist · iOS Screen Time + cross-device sync
M
Matthew Wright
2 devices · iPhone 15 Pro, MacBook Air · App-level consent enabled May 1
Total screen time / day
9h 32m
▲ 83% from 5h 12m baseline
7-day rolling average
Pickups / day
142
▲ from 78 baseline
Once every 6.4 min while awake
First pickup
5:12AM
▼ 2h earlier than baseline
Phone is first thing he reaches for
Last use
2:48AM
▲ 3h later than baseline
47% of sessions are post-11 PM

24-hour usage heatmap · last 14 days

Each cell = a day × hour · color intensity = minutes of active screen use
Mon
Tue
Wed
Thu
Fri
Sat
Sun
12a
3
6
9
12p
3
6
9
12a
Dark band on the right side of every row = post-midnight scrolling. Pattern intensifies on weekends (Sat/Sun rows). The 5–6 AM low across all days is the only consistent break.

App categories · last 14 days

Total time per category · all devices
SM
Social Media
Instagram, TikTok, X, Reddit
3h 21m / day
▲ 214%
E
Entertainment
Netflix, YouTube, Hulu
2h 48m / day
▲ 192%
P
Productivity
Slack, Gmail, Notion
1h 12m / day
— flat
F
Food & Delivery
DoorDash, Uber Eats, Starbucks
42m / day
▲ 310%
$
Shopping
Amazon, Etsy, Shop
38m / day
▲ 475% · all post-11PM
C
Communication
iMessage, WhatsApp, FaceTime
28m / day
▼ 61% · sends, not just opens
H
Health & Wellness
Calm, Apple Health, Strava
3m / day
▼ 88%
R
Reading & Reference
Kindle, Apple News, Pocket
4m / day
▼ 78%

Top individual apps · this week

IG
Instagram
Social · primarily Reels
1h 48m / day
▲ 248%
TT
TikTok
Social · For You Page
1h 22m / day
▲ NEW · install Apr 22
N
Netflix
Entertainment
1h 14m / day
▲ 180%
YT
YouTube
Entertainment · short-form
58m / day
▲ 165%
DD
DoorDash
Food delivery
24m / day
▲ 380%
A
Amazon
Shopping · 19 orders this month
22m / day
▲ 520%
For the therapist

Phone as coping mechanism

Matthew's screen time pattern looks like distress-driven passive consumption, not engaged use. Three signals:

  • Communication is down 61% while total time is up 83% — he's on his phone more but talking to people less. Phone use has shifted from connective to consumptive.
  • Late-night doom-scrolling pattern: 47% of sessions are post-11 PM. Longest single session was 4h 14m on TikTok last Saturday night. Avg session length on social media has tripled.
  • TikTok was installed April 22 — 4 days after the inflection point. New high-stimulation app adoption is a classic mood-management behavior.

Worth exploring: what does Matthew reach for the phone instead of? In session, framing his phone as a coping tool (not a moral failure) opens up healthier substitutes.

For the nutritionist

App data confirms the food story

Screen data corroborates what's happening with eating:

  • DoorDash usage peaks 9 PM – midnight — exactly when he does eat.
  • NYT Cooking + Paprika went silent April 18. He lost the planning muscle on the same day the broader pattern broke.
  • MyFitnessPal logging down 72% — but he didn't delete the app. Reactivating logging may be a low-friction first step.
  • Starbucks app +130%. Mobile order ahead = coffee replacing meals.
For the sleep specialist

Screen behavior as a primary sleep disruptor

Matthew's last app interaction averages 2:48 AM. The 30 minutes before sleep onset are dominated by high-stimulation short-form video. Two specific findings worth raising in care planning:

  • Pickups-in-bed: avg 22 per night between getting into bed and falling asleep (motion-data-confirmed).
  • Wake-and-scroll: in 9 of the past 14 nights, Matthew woke between 3–5 AM, opened his phone, and stayed on it 20+ minutes before returning to sleep. This is a high-yield CBT-I intervention target.
✦ Suggested actions
‹ Summary
Sleep
Most relevant to: sleep specialist, therapist, psychiatrist, primary care
M
Matthew Wright
Apple Watch Series 9 · Sleep tracking enabled · 14 mo continuous data
Time asleep · avg
5h 24m
▼ 1h 36m from baseline 7h
12 of 14 nights below 6h
Sleep onset latency
47min
▲ from 14min baseline
8 nights >45 min · 3 nights >90 min
Wake events / night
4.2
▲ from 1.1 baseline
Fragmented; longest 38 min wake
Bedtime · median
2:14AM
▲ 2h 32m delayed
Phase delay, not advanced

Sleep stages · last 30 nights

Hours of REM, deep, and light sleep per night
REM
Deep
Light + core

Sleep architecture · last 14 nights

REM sleep16% (was 22%)
Deep sleep11% (was 18%)
Light + core73%
Architecture is consistent with antidepressant-treated MDD with sleep fragmentation: reduced deep, mildly suppressed REM, elevated wake. Sertraline can suppress REM as a baseline effect — interpret in that context.

Pre-sleep behavior

Last hour before sleep onset (median):
  • In-bed phone use48 min
  • Avg pickups before sleep22
  • Last caffeine (median)4:42 PM
  • Last meal11:42 PM
  • Bedroom light off2:08 AM
  • Wind-down routineSkipped 12 of 14
For the sleep specialist

This is mood-driven phase delay, not idiopathic insomnia

The pattern looks like secondary insomnia + delayed sleep phase coupled to depressive features:

  • Late bedtime, delayed onset, fragmented mid-sleep, normal-to-slightly-early morning wake.
  • Pre-existing baseline (Aug 2023 – Mar 2026) was healthy: 7h, low latency, 1.1 wake events.
  • Coupling to mood is tight (r = 0.71). CBT-I likely high-yield, but standalone CBT-I without treating the mood substrate will under-perform.

Highest-leverage targets: charge phone outside bedroom, caffeine cutoff at noon, fixed wake time (not bedtime), bright light exposure 7–9 AM. Sertraline timing review with prescriber if AM activation overlaps with daytime fatigue.

✦ Suggested actions
‹ Summary
Activity
Most relevant to: primary care, physical therapist, psychiatrist (psychomotor)
Steps · daily avg
2,140
▼ 71% from 7,400 baseline
Below sedentary threshold (5,000)
Exercise minutes
0/ wk
▼ from 215/wk baseline
Last Strava activity Apr 18
Active calories
180/ day
▼ 69% from 580 baseline
Compounding with low intake
Longest sedentary block
6.2hr
▲ 2.4hr from baseline
Typically afternoons

Daily steps · last 90 days

Bars colored by goal achievement
10k goal Apr 18
For primary care

Psychomotor slowing visible in passive data

The activity drop is sharper than mood-related withdrawal alone would predict. Two findings worth attention:

  • Walking speed has declined 18% (from 3.4 mph to 2.8 mph), independent of step count. Speed is a fairer measure than count here — it reflects gait effort, not just opportunity.
  • Stairs avoided: elevator-vs-stairs ratio flipped from 30/70 to 92/8 in the office building over the same period.

Both metrics return when he has a "good day" mood log — suggesting state-dependent psychomotor slowing rather than fixed deconditioning. Worth a brief functional check in-session.

✦ Suggested actions
‹ Summary
Heart
Most relevant to: primary care, cardiology, psychiatry (autonomic/medication)
Resting heart rate
74BPM
▲ 9 BPM from 65 baseline
Stable elevation past 5 weeks
Heart rate variability
28ms
▼ from 45ms baseline
Reduced parasympathetic tone
VO2 max · estimated
31
▼ from 38 baseline
Deconditioning pattern
High-HR notifications
0
No threshold events
No AFib detection events
For primary care / cardiology

Autonomic signature consistent with mood & stress state

The +9 BPM resting HR and ~38% HRV reduction are characteristic of sustained sympathetic dominance, consistent with depressive-anxious states. No findings suggesting primary cardiac pathology in the passive data (no ectopy patterns, no high-HR events, no oxygen desaturation overnight).

Worth noting for medication review: Sertraline is generally HR-neutral, but check whether dose change or other meds have changed. If clinical picture warrants, a 12-lead and basic labs would rule out thyroid or anemia overlay.

✦ Suggested actions
‹ Summary
Medications
Most relevant to: psychiatrist, primary care, pharmacist
Adherence · 30 day
93%
Holding through decline
2 missed doses in last 30d
Time-of-day drift
+2.4hr
From 8 AM → 10:24 AM median
Drift mirrors phase delay
Last refill
Apr 12
Next due ~Jun 9
CVS auto-refill enabled
Months on current dose
21
Sertraline 100mg · stable
No dose changes since Sep 2024

Active medications

Per patient record & pharmacy reconciliation
S
Sertraline (Zoloft)
100mg · PO · once daily · started 2023-08-14
93%
C
Cetirizine (Zyrtec)
10mg · PRN seasonal · OTC · spring + fall
PRN
V
Vitamin D3
2,000 IU · once daily · OTC
62%

Prior medication trials & reactions

Historical Rx record · informs future treatment decisions · reconciled with pharmacy + patient self-report
F
Fluoxetine (Prozac)
20mg → 40mg · started 2021-03 · discontinued 2022-02
Partial response at 40mg with persistent residual mood symptoms (~40% improvement). Discontinued for sexual side effects (anorgasmia, low libido) that did not resolve at month 6. No allergic reaction. No serotonin syndrome events. Lesson learned: Matthew is sensitive to SSRI sexual side effects — monitor with any dose increase.
Mar 2021 – Feb 2022 · 11 months
Partial · SE
B
Bupropion XL (Wellbutrin XL)
150mg · started 2022-03 · discontinued 2022-04
Adverse reaction: within 2 weeks Matthew reported significantly worsened anxiety, jitteriness, insomnia, and tachycardia (resting HR up ~12 BPM). Discontinued at 3 weeks. No seizures, no rash. This is the most important historical reaction to weigh against any future bupropion consideration. If ever revisited, would need to start much lower (XL 100mg or SR 75mg) and titrate very slowly — but generally a sign that his anxious-spectrum features make activating agents difficult.
Mar 2022 – Apr 2022 · 3 weeks
Adverse · DC
E
Escitalopram (Lexapro)
10mg · started 2022-05 · transitioned 2023-08
Effective with manageable side effects (mild yawning, low-grade fatigue early in treatment that resolved by week 4). Matthew was stable on this for 15 months. Switched to Sertraline in Aug 2023 when he changed insurance and formulary required step-therapy through Sertraline. No washout incident, no adverse switch effects. If future switches needed, escitalopram is a proven tolerated SSRI for him.
May 2022 – Aug 2023 · 15 months
Effective
A
Alprazolam (Xanax) · PRN
0.5mg · 30-tab Rx · 2022-04 (single fill)
Prescribed as bridge during bupropion-related anxiety. Matthew used 8 of 30 doses and stopped voluntarily; no escalation, no refills sought. Pharmacy + state PDMP confirm. No misuse pattern. Matthew self-reports preferring not to use benzodiazepines. Worth noting for any future short-term anxiolytic discussion.
Apr 2022 · single fill
Self-limited

Side effect surveillance · current medications

Active monitoring · self-report + passive BridgeKPI signals + lab markers
Sertraline 100mg · 21 months
GI symptoms
Absent
Resolved month 2
Sexual side effects
Mild · monitor
Self-report Mar 2026
Sleep impact
No drug-related
Current sleep issue is mood-related
Weight change
−4 lb (mood-driven)
Not SSRI-typical · likely mood/intake
Hyponatremia risk
Na 140
Apr 22 labs · OK
Activation / agitation
None reported
Self-report
Bleeding / GI
None
No NSAID/anticoag co-Rx
Bone density (long-term)
DEXA normal 2024
Recheck in 5 yr

Drug-drug interaction check

Cross-checked across all active medications, OTC supplements, and substances flagged in patient profile
✓ Sertraline + Cetirizine
Mild anticholinergic + SSRI = low risk; safe for short-term seasonal use.
✓ Sertraline + Vit D3
No interaction.
⚠ Caffeine intake elevated
4.6 cups/day vs 2.0 baseline. Not a true DDI but worth noting — high caffeine + SSRI can amplify anxious activation.
⚠ Cetirizine PRN (spring)
Mild anticholinergic + SSRI = low risk; OK for short-term seasonal use.

Pharmacogenomic considerations

No PGx testing on file · could inform future medication selection
Sertraline is metabolized primarily by CYP2B6, with contributions from CYP2C19, CYP2C9, CYP3A4, and CYP2D6. Matthew's clinical response (tolerated, partial efficacy) is consistent with normal-metabolizer phenotype. Given that he has now tried 3 SSRIs/SNRI-adjacent agents and one failed for adverse effects, PGx testing could meaningfully inform the next decision if treatment intensification doesn't produce response. Most insurance covers PGx testing after ≥2 medication failures, which he now meets. GeneSight, Genomind, or similar panels available.
For psychiatry

Treatment response question

Matthew has been on Sertraline 100mg for 21 months with documented prior response. Current presentation suggests either breakthrough symptoms, dose-relative subtherapeutic response, or a precipitant-driven episode despite ongoing treatment. Adherence remains strong (93%) — this is not a non-compliance picture.

Options ranked in the Treatment Plan panel. Briefly: (A) dose-increase Sertraline 100→150mg is first-line and likely sufficient; (B) bupropion augmentation is contraindicated by prior adverse response; (C) venlafaxine class-switch is reserve; (D) aripiprazole augmentation is premature; (E) treating the medical layer (Vit D, ferritin, repeat TSH) should run in parallel. PGx testing now becomes reasonable if Option A doesn't produce response at 8 weeks.

✦ Suggested actions
‹ Summary
Mobility
Most relevant to: physical therapist, primary care, psychiatry (psychomotor)
Walking speed · avg
2.8mph
▼ from 3.4 mph (−18%)
Apple Watch gait estimate
Walking steadiness
88%
▼ from 96%
No fall events
Walking asymmetry
6%
Within normal range
No gait abnormalities
Stair-flight count
1.2/ day
▼ from 8.4/day
Active avoidance pattern
For primary care

State-dependent psychomotor slowing

Mobility metrics have declined in proportion with overall energy. The pattern is bilateral, symmetric, and reverses on good-mood days — strongly consistent with depressive psychomotor slowing rather than physical pathology. No fall risk indicators. No need for PT referral unless decline persists post-mood-recovery.

✦ Suggested actions
‹ Summary
Body Measurements
Most relevant to: primary care, dietitian, psychiatrist
Weight · latest
138lb
▼ 4 lb in 5 weeks
May 23 · home scale
BMI
22.3
Normal range
Was 22.9 in April
% body weight lost
2.8%
Unintentional
Meets DSM-5 A3 threshold
Body fat · estimated
24%
No major change
Loss appears mixed composition
For primary care

Unintentional weight loss flag

2.8% body-weight loss over 5 weeks is not severe in isolation but is clinically meaningful in context:

  • It is unintentional (no diet, no GLP-1, no procedure).
  • Trajectory matches reduced intake (~530 kcal/day deficit) — the math checks out.
  • It meets DSM-5 MDD Criterion A3 ("significant unintentional weight loss").
  • Continued at this rate, would total ~5% loss by next monthly visit — worth a weigh-in.

Address by treating the upstream nutrition/mood pattern; rule out medical contributors if loss continues past behavioral intervention window.

✦ Suggested actions
‹ Summary
Finances
Most relevant to: psychiatrist (bipolar differential), social worker, financial therapist, primary care · 14 mo of data · Plaid + 3 institutions
M
Matthew Wright
Granular spending shared · transaction-level analysis with patient consent · 1 checking, 1 credit, 1 savings
Discretionary spend · 30d
+340%
▲ from baseline $420/mo
Entertainment + retail driving
Late-night purchases
38/ mo
▲ from 4/mo baseline
11 PM – 3 AM window · avg $42
Bill-pay timeliness
81%
▼ from 100% (auto) baseline
2 late fees · 1 missed (electric)
Emergency fund saving
$400/ mo
On track · automated
Auto-transfer Matthew hasn't touched

Spending pattern · last 90 days

Daily discretionary spend · colored by category · April 18 inflection marked
$200 daily avg Apr 18 Feb 26 Mar 26 Apr 26 May 26
Baseline pattern
Elevated
High
Anomalous (late-night cluster)

Spending category breakdown · last 30 days

Where the spending shift is concentrated
E
Entertainment & streaming
Netflix bumps, in-app TikTok gifts, mobile gaming
$842 / mo
▲ 340%
A
Amazon & online retail
19 orders this month · avg $34 · most after 11 PM
$612 / mo
▲ 520%
D
Food delivery
DoorDash + Uber Eats · 22 orders / mo
$486 / mo
▲ 305%
S
Coffee & cafes
Starbucks mobile orders 14× · espresso + pastry pattern
$142 / mo
▲ 130%
G
Groceries
Whole Foods, Trader Joe's · trips down 70%
$84 / mo
▼ 78%
F
Fitness & wellness
Equinox membership ($165/mo · used 0× since Apr 18)
$165 / mo
Subscription drift
U
Utilities & bills
Electric, internet, phone
$284 / mo
2 late payments · $34 fees

Time-of-day spending pattern

When purchases happen · last 30 days
6 AM – 12 PM (morning)14% of transactions
12 PM – 5 PM (afternoon)21%
5 PM – 11 PM (evening)22%
11 PM – 3 AM (late-night cluster)43% · was 6% baseline
The late-night cluster is the strongest financial signal. 43% of all purchases now happen in a 4-hour window where he should be asleep. These purchases average $42, skew toward instant gratification (entertainment, retail, food), and have high return rates (3 of 19 Amazon orders returned).

What's still working

Automated systems Matthew hasn't touched
✓
Emergency fund · $400/mo
Auto-transfer · still hitting target every month since Sep 2023
✓
401(k) contribution · 8%
Payroll deduction · uninterrupted
!
Equinox membership · $165/mo
Auto-renew · 0 visits since Apr 18 · subscription drift
!
3 forgotten free-trial conversions
Started in April · billing now active · $47/mo combined
For psychiatry · bipolar differential

This spending is mood-congruent, not hypomanic

The +340% discretionary spend by itself looks like it could be a hypomanic-spectrum signal. It isn't. The full pattern argues against bipolar:

  • No paired energy elevation. Hypomanic spending typically co-occurs with reduced sleep need, elevated activity, and goal-directed pursuit. Matthew's sleep is reduced with fatigue, his steps are down 71%, and his goal-pursuit is collapsed. Activity and spending are decoupled — not the bipolar signature.
  • Purchase content is consumption-oriented, not ambition-oriented. Hypomanic spending often clusters around projects, plans, expansion (business courses, large items, travel). Matthew's purchases are passive: streaming, doomscrolling-adjacent retail, instant gratification.
  • Late-night timing aligns with insomnia, not energy. The 11 PM – 3 AM cluster overlaps the doom-scroll window. This is "I can't sleep so I scroll-and-buy", not "my mind is racing and I'm building things."
  • Return rate (16%) is high. Buyer's-regret pattern, consistent with impulse-with-low-conviction. Hypomanic purchases tend to feel justified in the moment and later.
  • 14-month longitudinal data shows no prior hypomanic episodes. No previous spending spikes, no energy elevations, no decreased-sleep-with-mood-elevation patterns.

MDQ would likely score low. Bipolar differential should remain considered but unsupported by passive data. If Matthew endorses any past energy/spending pairings on direct interview, revisit.

For the therapist

Spending as coping behavior — three patterns to discuss

The spending is doing emotional work for him. Three distinct sub-patterns:

  • Numbing (entertainment, streaming subscriptions, in-app purchases): purchased when distress is acute · cluster around 11 PM – 1 AM · doesn't require physical presence · low engagement threshold.
  • Replacement-for-effort (food delivery, mobile coffee orders): substitutes for activities he used to do herself (cook, walk to coffee) · executive-function-conserving · also functions as caretaking-from-outside when he can't caretake herself.
  • Pseudo-control (Amazon impulse buys, returned items): buying gives a moment of agency-feeling that his broader life isn't providing · the act of buying matters more than the items · 16% return rate suggests the goods themselves aren't the point.

Worth gently surfacing in session — without shame. Matthew is using money the way another patient might use food, alcohol, or work. Frame it as a coping tool that has worked enough to keep doing, not as a failure. Healthier substitutes (calling a friend, a 10-minute walk) need to be at least as accessible as the phone in his hand.

For the financial therapist / social worker

Stability infrastructure is intact — buy time for recovery

Critically, Matthew's baseline financial stability is not threatened. Income is stable (W-2 paychecks deposited on time, no reduced hours), savings continues to accumulate, no debt acceleration. He has ~$84 in monthly slip from late fees + drift + subscription creep — annoying, not catastrophic.

The actionable interventions are protective, not restrictive:

  • Audit + cancel the 3 forgotten trials and pause Equinox until Matthew is using it again. ~$212/mo recovered with minimal effort.
  • Late-night purchase pause — most cards support a "24-hour cooling" or app-level spending limit. Reduces post-11 PM purchases without removing access.
  • Auto-pay every bill — eliminate the executive-function load of paying bills manually when his bandwidth is low. Eliminates late fees entirely.
  • Don't touch the emergency fund auto-transfer — it's working without his attention, which is the design.

Financial intervention here is protective infrastructure, not behavior change. The behavior will follow when the mood recovers.

Cross-domain correlations · Matthew's financial data

Late-night spend → mood next day
r = −0.51
Spend cluster → sleep duration
r = −0.58
Bill-pay timeliness → energy
r = +0.46
Discretionary spend → screen time
r = −0.67
Grocery $ → meals logged
r = +0.62
✦ Suggested actions
‹ Summary
Hearing
Most relevant to: primary care, audiology, behavioral (correlate)
Headphone exposure
8.4hr / day
▲ from 1.8hr baseline
Apple notification: "OK" level
Avg audio level
78dB
Within safe range
Below 80dB WHO threshold
Environmental dB
52dB
▼ home-bound pattern
Was 64dB · less time outside
Headphone use overnight
2.1hr
New pattern
Worn while falling asleep
Behavioral correlate

Headphones as social-shield, not hearing risk

Audio levels themselves are safe. The behavioral signal is the 8.4hr/day exposure — up 4.7× from baseline. This often co-occurs with social withdrawal (audio in = world out). Worth surfacing gently, not as a hearing concern but as a coping-shape question.

✦ Suggested actions
‹ Summary
Respiratory
Most relevant to: primary care, pulmonology
Respiratory rate · sleep
16/ min
Normal range
12-20 normal
Blood oxygen · avg
97%
Healthy range
No nocturnal desaturation
Apnea events
0
No flagged events
No sleep apnea signal
Cough & respiratory symptoms
0
None logged
No active complaints
For PCP

No respiratory findings

All respiratory metrics within normal range. No evidence of sleep-disordered breathing contributing to Matthew's poor sleep quality — the sleep issue is behavioral and mood-driven, not respiratory.

‹ Summary
Symptoms
Patient-logged · 14 days

Logged symptoms · last 30 days

F
Fatigue
Patient-logged · severity 6-8/10
12 days
Most frequent
A
Low appetite
Patient-logged
8 days
New pattern
H
Headache
Patient-logged · tension type
4 days
Stable
J
Jaw tension / bruxism
Patient-logged
3 days
New
✦ Suggested actions
‹ Summary
Care Team
8 providers currently active in Matthew's care · roles, access permissions, and recent activity · all data flows are patient-consented

Active providers

+ Invite
ER
Dr. Elena Reyes, PsyD
Clinical psychologist · primary therapist
Roswell Behavioral · Atlanta, GA · 22 sessions ytd
readwritenotes sealed
Active · Thu
KA
Dr. Kavi Almeida, MD
Psychiatrist · medication management
Roswell Behavioral · Atlanta, GA · prescriber since 2023
readwriteRx
Active · Jun 4
JP
Dr. Julian Patel, MD
Primary care · internal medicine
Piedmont Primary Care · Atlanta, GA · annual + 4 visits ytd
readwriteRx
Recent · Apr 22
LO
Dr. Lauren Okonkwo, MD
Neurology · ordered the MRI workup
Atlanta Neurology Associates · Atlanta, GA · consulted Apr 2 for new-onset headaches + visual symptoms
readwriteRx
Recent · Apr 15
MR
Dr. Mira Reuben, MD
Neuroradiology · read the MRI
Northside Hospital Imaging Center · Atlanta, GA · referred by Dr. Okonkwo
readimaging
Read · Apr 4
SH
Dr. Sophie Han, MD
Endocrinology · consulted for elevated TSH
Piedmont Endocrinology · Atlanta, GA · referred by Dr. Patel Apr 24
readwriteRx
Pending · Jun 12
KL
Kira Levin, MS, RD, LD
Registered Dietitian
Atlanta Nutrition Collective · referred from Dr. Patel · pending intake
readnutrition
Pending intake
JO
Jamal Okafor, LCSW, AFC
Financial therapist · LCSW + accredited financial counselor
Threshold Counseling · Atlanta, GA · referred Apr 28
readcounsel
Awaiting Matthew to schedule

Recent care team activity

All cross-provider activity is audit-logged per HIPAA · Matthew can view this same feed from his app
MR
Dr. Reuben attached the MRI brain report (equivocal periventricular finding, dedicated sequences recommended) and flagged Dr. Okonkwo.
Apr 4 · 3:42 PM
LO
Dr. Okonkwo reviewed imaging and ordered dedicated MRI sequences (FLAIR + DWI + SWI) plus senior neuroradiology re-read; counseled Matthew on differential including benign Virchow-Robin variant.
Apr 5 · 9:14 AM
MR
Dr. Reuben completed dedicated sequences. Findings most consistent with benign anatomic variant; awaiting senior re-read for confirmation given patient anxiety.
Apr 8 · 1:15 PM
MR
Senior neuroradiologist re-read: benign Virchow-Robin (perivascular) space. No demyelination, no mass, no vascular malformation. Migraine workup recommended for the symptoms. Patient notified. Case closed from imaging.
Apr 15 · 11:02 AM
JP
Dr. Patel ordered baseline labs (CBC, CMP, TSH, Vit D, ferritin) given mood symptoms + 4 lb unintentional weight loss reported by Matthew.
Apr 22 · 2:18 PM
JP
Dr. Patel reviewed lab results: TSH mildly elevated (4.8), Vit D low (18). Endocrinology referral to Dr. Han. Discussed with Dr. Almeida via care team channel.
Apr 24 · 11:45 AM
JO
Dr. Reyes initiated referral to Jamal Okafor, LCSW (financial therapist) given the financial behavior pattern flagged in BridgeKPI data. Awaiting Matthew to schedule.
Apr 28 · 4:18 PM
ER
Dr. Reyes conducted weekly therapy. Session note signed and saved. Note contents sealed per psychotherapy notes regulation — visible only via Matthew's release.
May 21 · 4:50 PM

Role-based access matrix

Who can read and write each data category · R = read · W = write · Rx = prescribe · Patient can override any access
Data category Therapist Psychiatrist PCP Neurology Radiologist Endo RD LCSW (fin)
Behavioral / BridgeKPI RWRWRR——RR
Session recordings + AI synopses RW———————
Psychotherapy notes RWsealedsealedsealed———sealed
Medications RRxRxRxRRxR—
Labs & vitals RRRWRWRRWR—
Imaging / radiology reports RRRRWRWRW——
Allergies RRRWRWRRWR—
Nutrition plans RRRR——RW—
Financial / SDOH R—R————RW
Substance use (42 CFR Part 2) sepsepsepsepsepsepsepsep
sealed = inaccessible without patient release · sep = governed by separate 42 CFR Part 2 consent (not relevant in Matthew's chart but shown for completeness). State law adds additional protections to mental health, reproductive health, and HIV/AIDS records that may further restrict the above defaults.
✦ Suggested coordination actions
‹ Summary
Sessions
Telehealth + in-person sessions with Matthew Wright · AI session analysis available with patient consent
Upcoming

Therapy session · Matthew Wright

Thursday, May 28 · 4:00–5:00 PM
Telehealth · Dr. E. Reyes hosting · session #34 in current care episode · last session May 21 (47 min)

Past sessions

AI-analyzed sessions are clickable for full synopsis, tone arc, and key moments
May
21
Therapy · weekly
Sleep · work stress · April 18 precipitant · medication response
47 min
Telehealth
›
May
14
Therapy · weekly
Mood decline · social withdrawal · screen time · CBT homework
52 min
Telehealth
›
May
7
Therapy · weekly
Initial mood concern · sleep changes · life stressors
50 min
In-person
›
Apr
30
Therapy · weekly
Family stress · father's MRI · anticipatory grief
55 min
Telehealth
›
Apr
23
Therapy · weekly
Workload · running goals · weekly check-in
49 min
Telehealth
›
Apr
16
Therapy · weekly
Positive baseline · running consistency · social wins
48 min
Telehealth
›
✦ Session-level trends

Across the last six sessions, therapeutic alliance scores have held steady at 8.4/10 (Matthew's post-session rating) even as his mood has declined. Speaking-time ratio has shifted: Matthew spoke 62% of session time in April, 51% in mid-May, 47% on May 21. This is consistent with depressive withdrawal, not disengagement — he shows up and stays engaged but talks less.

Topic clusters have shifted from active (running, work projects, social plans) to receptive (sleep, fatigue, family worry). Father's MRI was first mentioned April 30 — that's the precipitant flagged in the longitudinal data.

‹ Sessions
Session analysis · May 21
Matthew Wright · weekly therapy · Telehealth · AI-analyzed with patient consent
Thursday, May 21 · 4:03 – 4:50 PM
47 min · Telehealth · Recorded with consent · Reviewed by Dr. Reyes
Speaking
47% / 53%
Alliance
8.4/10
Safety
Clear
Risk flags
2 · review
✦ AI Session Synopsis
What was discussed

Matthew opened the session describing persistent fatigue and difficulty getting started in the morning. He mentioned sleeping "okay-ish" but waking multiple times and feeling tired regardless. Mood self-report: 4 out of 10, down from 6 the previous week.

Significant emotional moment around minute 12: Matthew disclosed that his father's MRI results came back showing a brain lesion on April 18, and he has been "trying not to think about it." This is the first session in which the date has surfaced explicitly — it aligns with the inflection point flagged in his behavioral data. He expressed guilt about not visiting his parents and about pulling away from his mother's weekly calls.

Discussion shifted to behavioral activation. Matthew identified drawing and running as activities he misses but feels "too tired" for. Dr. Reyes proposed a "smallest version" approach (10-minute walk, 15-minute drawing) — Matthew was tentatively willing. Homework: one walk and one drawing session before next visit.

Medication response reviewed. Matthew confirmed he is taking Sertraline daily (93% adherence on app data). Discussed dose adjustment vs. waiting; deferred decision pending two-week behavioral activation trial. Safety screen administered — Matthew denied current ideation, plan, or intent; expressed wanting to "feel like myself again" rather than not exist.

Closing: Dr. Reyes acknowledged Matthew's continued engagement in care despite low energy. Matthew rated the session 8/10. Next session Thursday May 28.

Emotional tone over time

Matthew's vocal affect inferred from prosody · 1-minute resolution · session duration 47 minutes
Activated Neutral Subdued min 12 · disclosure min 28 · BA discussion min 40 · safety screen 0 min 12 24 36 47
Matthew — overall tone trajectory
Disclosure moment
Tearfulness detected
Engagement / hopeful
Anxious affect
Provider-only · AI inference

Body language & nonverbal indicators

Aggregated across the full session · derived from video stream with patient consent
Interpret with judgment. These are AI-detected pattern indicators, not assessments. Accuracy varies by lighting, camera angle, framing, and individual/cultural baseline. Nonverbal inference is particularly unreliable for autistic patients — eye contact, facial expressivity, head movement, and prosodic markers differ from neurotypical baselines as a feature of neurology, not as evidence of affective state. Applying neurotypical-trained models to neurodivergent patients can systematically misread them as "subdued", "disengaged", or "flat" when those patterns reflect how their nervous system communicates, not how they feel. Same caution applies to patients with movement disorders, low vision, and in non-WEIRD cultural contexts. Use these signals to surface what's worth looking at on review — final interpretation belongs to you, and if Matthew identifies as autistic or is being considered for neurodevelopmental assessment, weight these signals proportionally lower.
Posture · open vs closed
71% open
vs Matthew's baseline 84%High conf
Eye contact · sustained
62%
vs baseline 78%Med conf
Facial affect · neutral/subdued
68%
↑ from 41% baselineHigh conf
Tearfulness episodes
2
At min 13 and min 17High conf
Restlessness / fidgeting
Low
↓ from baseline · psychomotor slowMed conf
Head movement · expressive
38%
vs baseline 64% · bluntedMed conf
Vocal pitch variance
−42%
vs baseline · flat affect signalHigh conf
Speech latency
+1.4sec
vs baseline 0.6 sec gapHigh conf
Smile · genuine (Duchenne)
3events
2 during BA discussionMed conf
Pattern summary: Multiple indicators consistent with subdued affective state — blunted facial expressivity, reduced expressive head movement, lower vocal pitch variance, longer speech latency. Tearfulness clustered at minutes 13 and 17, both following the father-MRI disclosure. Posture remained open, smile events clustered during behavioral activation discussion (potentially hopeful affect). No indicators of acute distress or dissociation.

Topics discussed

Auto-clustered by AI · time spent per topic across the 47-minute session
Father's MRI & family worry
13 min
Sleep & fatigue
10 min
Behavioral activation planning
8 min
Medication response
6 min
Mother & missed calls
4 min
Safety screen
3 min
Drawing as past activity
2 min
Logistics / next session
1 min

Key moments timeline

AI-flagged moments worth review · jump to timestamp in recording
02:14
opening affectMatthew described his week as "the same" with reduced prosody. Mood self-report 4/10 (down from 6). Energy level low at outset.
12:08
disclosureFirst mention of father's MRI in any session. Matthew: "his MRI showed something on April 18 and I just... I haven't been the same since." Followed by 18-second pause. This aligns with the inflection date in his behavioral data.
13:42
tearfulnessTearfulness detected (visual + vocal markers). Matthew continued speaking through it. Did not request break.
17:22
tearfulnessSecond tearfulness episode discussing guilt about distancing from mother. Matthew: "I keep telling myself I'll call his tomorrow."
28:11
behavioral activationDr. Reyes introduced "smallest version" framing. Matthew identified drawing and walking. Affect lifted — first sustained engaged tone of session. Two Duchenne smiles detected in this window.
35:50
homeworkConcrete homework set: one 10-minute walk, one 15-minute drawing session before May 28. Matthew: "I can probably do that." Tentative commitment language but agreed.
40:18
safety screenC-SSRS administered. Matthew denied ideation, plan, or intent. Endorsed wanting to "feel like myself again" rather than not exist. No safety-action triggered.
44:02
review flagMatthew mentioned "sometimes I'm awake at 4 AM and I just wish my brain would stop." AI flagged for clinician review — language could indicate distress without C-SSRS-positive ideation. Worth gentle follow-up next session.
46:40
closingSession rated 8/10 by Matthew. Closing affect more activated than opening (Δ +0.4 standardized). Confirmed next Thursday.

AI-suggested chart note · editable

✦ Follow-up actions
‹ Summary
Imaging & Scans
Read access for all care team · write access restricted to imaging specialists · DICOM viewer available with sign-in

What April actually looked like for Matthew — compound stressors visible across the data

The April 18 behavioral inflection point wasn't a single event. The system traces the upstream chain across imaging, family history disclosure, and care team activity to behavioral data — surfacing causal context that any single clinician would otherwise miss.
Step 1
Apr 4 · 9:30 AM
Brain MRI (new-onset headaches + visual sx)
Dr. Reuben · Northside Imaging
→
Step 2 · stressor
Apr 4 · 3:42 PM
Equivocal finding · 11 day wait for re-read
Behavioral data: sleep ↓, screen time ↑
→
Step 3 · stressor
Apr 18 · 8:14 AM
Father's MRI: brain lesion. Compound event.
Disclosed in May 21 session
Step 4 · response
Apr 18 onward
Mood ↓, eating window collapses, late-night spend ↑
BridgeKPI passive data
→
Step 5 · presentation
Apr 22
PCP visit: 4-lb weight loss, mood symptoms
Dr. Patel
→
Step 6 · treatment context
May 26
Multi-provider response now coordinated
Care team active
Clinical implication: Looking at his behavioral data alone, you'd see a depressive picture starting around April 18. Looking at imaging alone, you'd see a benign MRI re-read and assume the case was closed. The system surfaces the connection — the 11-day waiting period (after an equivocal initial read where Matthew was actively worried about a brain tumor given his family situation) left an inflammatory psychological signature that compounded with the father's news three days later. A clinician seeing only their slice would frame this differently than the integrated picture warrants.
MRI brain with and without contrast
Apr 4, 2026 · 9:30 AM · CPT 70553 · Northside Hospital Imaging Center · Atlanta, GA · ordered by Dr. L. Okonkwo (Neurology) for new-onset severe headaches + transient visual disturbance · read by Dr. M. Reuben (neuroradiologist)
Equivocal · further eval
T1 / T2 / FLAIR · post-contrast · click to open DICOM viewer
Radiologist impression · Dr. M. Reuben
Approximately 4 mm T2-bright focus in the left periventricular white matter, no enhancement post-contrast. Differential includes benign perivascular (Virchow-Robin) space versus small demyelinating lesion versus other. Recommend additional dedicated sequences (FLAIR + DWI + susceptibility-weighted) and senior neuroradiology re-read. No mass effect, no acute findings. Patient counseled on findings; care team notified via shared chart.
Dedicated MRI sequences (FLAIR + DWI + SWI)
Apr 8, 2026 · 1:15 PM · Northside Hospital · read by Dr. M. Reuben
Pending senior re-read
Impression
Lesion characteristics most consistent with prominent perivascular space (Virchow-Robin variant). No restricted diffusion, no susceptibility artifact suggestive of microbleed, no enhancement. Likely benign anatomic variant but recommend senior neuroradiology confirmation given patient anxiety and family history concerns.
Senior neuroradiology re-read & case closure
Apr 15, 2026 · 11:02 AM · senior neuroradiologist · Northside Hospital
Result Apr 15 · benign
Final impression · received Apr 15
Prominent perivascular (Virchow-Robin) space, benign anatomic variant. No demyelinating lesion. No vascular malformation. No mass. No further imaging follow-up indicated. Headaches likely migraine — refer for migraine workup as outpatient. Patient notified by phone and via portal; counseling completed. Case closed from neuroimaging standpoint.
BridgeKPI behavioral observation: Matthew's sleep and screen-time data show notable disruption between Apr 4 and Apr 15 — the 11-day waiting period. Stress signature persisted past the favorable result and merged with the compounding April 18 stressor (father's MRI showing actual brain lesion). The waiting was its own injury, even though the outcome was good. Hereditary anxiety amplified the impact — Matthew was already primed for the worst news because of his father's situation, even before his father's MRI confirmed it.
DEXA scan (bone density)
Mar 14, 2024 · baseline · ordered by Dr. J. Patel due to family history
Normal
Impression
T-score lumbar spine: −0.4. T-score femoral neck: −0.6. Normal bone density for age. No osteopenia or osteoporosis. Worth repeating in 5 years or sooner if clinical concerns develop. Note: Sertraline (SSRI) is associated with mild long-term bone density reduction in some studies — re-assess if duration exceeds 5–7 years.
✦ Cross-team actions
‹ Summary
Lab Results
CLIA-certified labs · all panels reviewed by ordering provider · mood-relevant markers flagged for behavioral context

Comprehensive panel · Apr 22, 2026

Ordered by Dr. J. Patel (PCP) · Quest Diagnostics · drawn 8:14 AM · resulted 5:32 PM same day · reviewed Apr 24
JPPatel ordered
Clinical context: Matthew presented Apr 22 with 4-lb unintentional weight loss, fatigue, and reduced energy beginning early April. Lab panel ordered to rule out medical contributors (thyroid, anemia, metabolic) before attributing entirely to mood.
Thyroid · most mood-relevant
TSH
High
4.8mIU/L
Normal 0.4 – 4.0 · was 2.1 in 2023
▲ borderline subclinical hypothyroid — can present as depression-mimic
Free T4
Normal
1.1ng/dL
Normal 0.8 – 1.8
Stable
TPO antibodies
Negative
<9IU/mL
<35 negative
No autoimmune signal
Nutritional · mood-relevant
25-OH Vitamin D
Low
18ng/mL
Sufficient ≥30 · deficient <20
▼ deficient · low Vit D associated with depressive symptoms
Vitamin B12
Normal
412pg/mL
200 – 900
No deficiency
Ferritin
Borderline
22ng/mL
Normal 20 – 200 · iron deficient <30 in symptomatic women
Low-normal · sub-optimal for energy; in 34M without menstrual loss, warrants GI/dietary workup
Folate (RBC)
Normal
488ng/mL
280 – 791
No deficiency
Magnesium
Low-normal
1.9mg/dL
1.7 – 2.4
Within range; sub-optimal
Albumin
Normal
4.2g/dL
3.5 – 5.0
Protein status adequate
CBC · CMP · routine
Hemoglobin
Normal
13.4g/dL
12 – 16
WBC
Normal
6.2K/uL
4.5 – 11.0
Platelets
Normal
248K/uL
150 – 400
Sodium
Normal
140mEq/L
135 – 145 · relevant for SSRI
Creatinine
Normal
0.78mg/dL
eGFR >60 · OK for renal dosing
ALT
Normal
22U/L
Hepatic function OK for SSRI
HbA1c
Normal
5.2%
<5.7 · no metabolic disease
Total cholesterol
Normal
178mg/dL
Healthy range
CRP (hs)
Normal
1.2mg/L
No inflammation
Dr. Patel's note · for the care team

What this lab work changes about Matthew's picture

Three findings shift the differential meaningfully and warrant team-wide awareness:

  • Subclinical hypothyroidism (TSH 4.8, free T4 normal). This is a known depression mimic — fatigue, weight changes, low mood. The mood picture may have a meaningful endocrine layer worth treating in parallel with psychiatric care. Recommend re-check TSH + free T4 in 6 weeks. If TSH rises further or T4 drops, initiate low-dose levothyroxine in coordination with Dr. Almeida (psychiatry).
  • Vitamin D deficiency (18 ng/mL). Strongly associated with depressive symptoms in observational studies; replacement is low-risk and high-value. Initiate D3 5,000 IU daily × 8 weeks then re-check.
  • Low-normal ferritin (22). Iron deficiency without anemia can contribute to fatigue and cognitive symptoms. In a 34M without menstrual loss, this finding warrants a dietary and GI consideration — workup if persistent. Recommend oral iron supplementation with monitoring; re-check ferritin in 12 weeks; consider basic GI evaluation if doesn't improve.

Critically: these findings do not rule out psychiatric framing — they add a treatable medical layer that may have been amplifying psychiatric symptoms. The wrong move is to either (a) attribute everything to thyroid and stop psychiatric care, or (b) ignore the labs and treat psychiatrically alone. Both modalities indicated.

✦ Suggested actions
‹ Summary
Allergies & Reactions
Reconciled across all care team providers · cross-checked against every Rx recommendation before sign-off

Drug allergies

Auto-checked against every medication recommendation system-wide
P
Penicillin (amoxicillin)
Diffuse maculopapular rash, no airway involvement · childhood episode
Mild
2008 (age 16)
JPverified Dr. Patel
S
Sulfa (sulfamethoxazole-trimethoprim)
Hives within 4 hours of dose · self-resolved with Benadryl · no anaphylaxis
Moderate
2019
JPchart Apr 22

Food allergies

🥜
Tree nuts (walnuts, pecans, cashews)
Throat tightness, urticaria, lip swelling · carries EpiPen · last reaction 2022 (pecan in dessert)
Severe / IgE
2013
Aallergist verified
🌾
Wheat / gluten sensitivity
GI discomfort, bloating · no celiac autoantibodies on workup · non-IgE
Mild · non-IgE
2020
JPchart

Environmental & testing history

🌸
Seasonal · grass & ragweed pollen
Allergic rhinitis · uses cetirizine PRN spring/fall
Mild
2010
Askin test
🐈
Cat dander
Sneezing, congestion · avoids prolonged exposure
Mild
2010
Askin test
Most recent allergy testing: ImmunoCAP-specific IgE panel (Jul 2019, Dr. Aronson Allergy & Asthma Atlanta). Tree nut IgE confirmed class 3 (walnut), class 2 (pecan, cashew). Negative for shellfish, soy, egg, dairy, peanut. Recommend retest in 2027 (~8 yr cycle).
Cross-check considerations for the care team

How Matthew's allergy profile shapes treatment options

  • Sulfa allergy rules out certain antibiotic classes (Bactrim) but does not contraindicate sulfa-containing drugs without an aromatic amine group (most modern psychiatric medications are safe).
  • Penicillin allergy rules out beta-lactams unless evaluated by allergist for graded challenge.
  • Tree nut allergy requires checking excipients in any new medication — some capsule formulations and certain compounded medications can contain tree nut oils. System auto-flags this on every Rx review.
  • No psychiatric medication allergies on record — Sertraline, prior SSRIs, and bupropion previously tolerated without allergic reaction (separate from side effect tolerability).
  • Cetirizine PRN seasonal use noted — no interaction concerns with current Rx; mild anticholinergic effect with chronic use worth noting.
✦ Suggested actions
‹ Summary
Treatment Plan & Recommendations
AI-generated options for prescriber consideration · evidence-based · cross-referenced with Matthew's allergies, prior trials, labs, and behavioral data · all options require clinician sign-off before activation

Pharmacologic options

Option B · Add Bupropion XL 150mg to current Sertraline
Combination · target residual fatigue, anhedonia, libido
Consider · with caution
Rationale
Augmentation can address the specific cluster of fatigue + anhedonia + reduced motivation that SSRI monotherapy is sometimes weak against. Bupropion's noradrenergic/dopaminergic action complements serotonergic SSRI. Also lower sexual side-effect profile.
Matthew-specific considerations
⚠ Prior adverse historyMatthew tried bupropion XL 150mg in 2022 — discontinued after 3 weeks for anxiety worsening + insomnia. This is the key flag.
⚠ Current anxious-distress featuresCould worsen the anxiety component of his presentation
⚠ Current insomniaBupropion is activating; bedtime drift already elevated
✓ No seizure risk factorsNo history of head injury, eating disorder, bulimia, or alcohol withdrawal (the main contraindications)
Caveat
Given Matthew's documented prior intolerance, this is a lower-priority option. Could be reconsidered if Option A fails to address residual fatigue after 8 weeks, and only with very slow titration (start XL 100mg or even SR 75mg, not 150mg).
Requires: Dr. Almeida Requires: prior-trial discussion with Matthew
Option C · Switch to Venlafaxine XR (SNRI)
Class switch · target both serotonin and norepinephrine
Class switch · if A fails
Rationale
Class switch from SSRI to SNRI shows modest benefit in some SSRI partial-responders (~25% additional response). Noradrenergic action targets the same fatigue/concentration symptoms as Bupropion but with stronger anxiolytic effect.
Matthew-specific considerations
⚠ Blood pressureVenlafaxine can elevate BP, especially at higher doses; need baseline + monitoring
⚠ Discontinuation syndromeDifficult to taper · "venlafaxine flu" well-documented · plan exit before initiating
⚠ Resting HR already elevatedMatthew at 74 BPM (up from 65) · SNRIs can elevate further
✓ No prior SNRI failureMatthew has not tried this class
When to consider
Reserve for if Option A (Sertraline 150mg) fails to produce meaningful response at 8–10 weeks. Cross-taper carefully.
Requires: Dr. Almeida Requires: BP baseline + 2-week recheck
Option D · Augment with Aripiprazole 2mg
Atypical antipsychotic augmentation · for treatment-resistant pathway
Premature · reserve
Why this isn't yet appropriate
Aripiprazole augmentation has FDA indication for treatment-resistant depression and a real evidence base — but Matthew does not currently meet the typical TRD threshold (defined as failure of ≥2 adequate antidepressant trials). He has had one stable agent for 21 months and has not yet had a dose optimization. Reserving this option until simpler steps fail is consistent with stepped-care guidelines and avoids early exposure to a higher-side-effect-burden medication.
If reached in future
⚠ Metabolic monitoringBaseline + Q3mo lipids, fasting glucose, weight
⚠ Akathisia screenEven at low doses, ~10% experience activating restlessness
⚠ Weight concernMatthew already underweight-trending (unintended 4-lb loss)
✓ No QT concernsEKG not yet on file but baseline before initiation
Reserved · re-evaluate Q4 2026

Non-pharmacologic — equally weighted

CBT-I (Cognitive Behavioral Therapy for Insomnia)
6-session structured program · sleep is a leverage point
High-yield · add
Sleep-mood coupling in Matthew's data is r = 0.71. CBT-I has strong evidence for both insomnia and the depressive symptoms it maintains. Can be done alongside Dr. Reyes's psychotherapy or as a separate 6-week module via Sleepio/SHUTi.
Lead: Dr. Reyes or sleep program
Financial counseling · Jamal Okafor, LCSW
Protective infrastructure · not behavior change
Referred Apr 28
Financial behavior pattern flagged in BridgeKPI data (late-night spending +340%). Dr. Reyes initiated referral. Goal: protective infrastructure (auto-pay, subscription audit, purchase pause) until mood recovers.
✦ Compose unified plan
A coordinated plan would combine: Option A (Sertraline 150mg) + Option E (Vit D, iron, recheck TSH) + intensified psychotherapy with trauma screening + CBT-I module + active nutrition and financial referrals. All providers see the unified plan; each owns their slice; Matthew sees the patient-facing version after all sign-offs.
M
Matthew Wright
34 M · MRN 4471-298 · therapy · session 34
Recording · AI analysis on
00:00
M
Matthew Wright ●
R
Dr. Reyes (you)
✦
Live AI assistant
LIVE
Themes emerging this session
Sleep and fatigue
Discussed since 02:14 · ~3 min
Father's MRI · NEW disclosure
First raised at 12:08 · aligns with Apr 18 inflection
Family withdrawal · guilt
Brought up at 16:30
Current tone · Matthew
Subdued
78
Tearful
42
Engaged
64
Activated
22
Body language signal
Eye contact
58%
Posture open
71%
Restlessness
low
Suggested in-session
Disclosure signal: Matthew hesitated 18 sec before naming the April 18 date. Consider gentle expansion — "can you say more about what changed that day?"
Risk monitoring
✓ No C-SSRS-positive language detected.
✓ No means-related references.
⏰ Remember to administer C-SSRS before session end.
Live AI is decision support, not assessment. All inferences are imperfect and may reflect AI bias or measurement artifacts. Use clinical judgment. Matthew has consented to AI analysis (revocable). Recording can be paused at any time.