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All WorkDigital health · Clinical operations · 2025
AI IntakeMobile Patient FlowEMR Integration

22 hours a week. Returned to six practitioners who needed them.

Intake processing: 25 minutes → 3 minutes - with no compromise on clinical judgement.

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The calendar, before and after
A single clinician's working week. Same hours, same building, same patients waiting - but the time once spent on intake admin is now spent in session.
The challenge

Six clinicians who chose this work to be with people, spending half their day on paperwork.

Serō is a small allied-health clinic with six clinicians who walked into the profession to spend time with patients. By 2024 they were spending twenty-five minutes per intake on documentation, ten minutes per session on charting, and entire Friday afternoons on insurance pre-authorisations.

The work was excellent. The structure producing it was an exhaustion machine. One clinician had already burned out. Another was close.

The patient never sees the AI
A short, adaptive intake on the patient's phone. Calm typography. Their answers shape the next question. They never know - or need to know - that there's a model on the other side.
The solution

The system that listens, structures, and prepares - so the human shows up for the human part.

Every intake is parsed against the clinic's protocols the moment it's submitted. The AI extracts the structured fields a clinician needs to plan a session - sleep average, presenting concerns, risk markers, treatment history - and surfaces the clinical questions that should be asked next.

The clinician opens the chart, reads a one-page brief, approves or edits, and starts the session. The first ten minutes of every visit are now about the patient - not the paperwork.

The clinician opens the intake
The AI's structured analysis sits on the left. The triage suggestion sits on the right. Every approval is logged for clinical governance.
01Structured fields

Pulled from the patient's free-text answers and stored in EMR-ready columns. No re-typing.

02Triage suggestion

Practitioner, first available slot, and pre-session task. The clinician approves or re-routes in one click.

03Governance trail

Every AI suggestion and every clinician decision is logged. The audit is invisible until it's needed.

I went into healthcare to be present with patients. For years, admin work was slowly making that impossible. The system gave us back the part of the job we actually love - and it did it without making anyone feel they were talking to a machine.
Dr. Eliahu Bar-On
Clinical Director · Serō
What every clinician opens before a session
A one-page brief in the clinician's voice, with the AI's reasoning visible underneath. The clinical impression is always written by the human.
01Latest scores

Standardised assessments tracked across sessions. Trend arrows over the raw number, never replacing it.

02Session brief

A two-paragraph summary in the clinician's writing tone. Suggested focus areas are tagged for review.

03Session history

Last four sessions on the right rail. Nothing about the patient is more than a glance away.

For the first time in a decade, I'm writing my notes the day of the session - not on Sunday afternoon. That alone has changed what kind of clinician I am during the week.
Maya Hadar
Senior Practitioner · Serō
What we built

Five quiet systems, working as one.

01Mobile patient intakeAdaptive, kind, never feels like a clipboard.
02AI summary & triageStructured analysis, reviewed by a clinician before file.
03Practitioner patient viewOne screen, one patient, one session.
04EMR write-backDirect integration with the clinic's record system.
05Governance logAuditable trail of every AI suggestion and human decision.
What changed

Twenty-two hours a week, returned to six clinicians - and to every patient they now have time to be present with.

Six months after launch, intake processing is down to three minutes per patient, every clinician finishes their notes the day of the session, and the clinic added two new practitioners without enlarging the admin team.

The system isn't the point. The hour someone gets back is.

Tech stack
React Native (design)Next.jsClaude APIMakeFigma
Project facts
Industry
Digital Health · MedTech
Duration
8 weeks
Team
6 practitioners · 400+ patients/month
Year
2025
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