Draft documentation
Encounter notes, discharge summaries and referrals drafted from structured and ambient inputs.
Healthcare · Case Study
Clinical Documentation AI
HIPAA-aware clinical documentation that drafts notes, codes candidates, and keeps clinicians in control.
- 68%documentation time saved
- 100%clinician sign-off on every note
- 0PHI incidents since launch
Delivered
What we built
Save 68% documentation time for clinicians with ambient AI assistance.
Clinician-in-the-loop
One-tap review, edit and sign-off inside the EHR — nothing publishes itself.
Privacy controls
PHI minimization, BAA-covered endpoints and audit on every access.
EHR integration
Drafts land in the clinician's existing workflow, not another portal.
Inside the build
Ninety minutes a day, returned
A regional health system's physicians were charting until 8pm. The fix had to save real time and survive a compliance committee.
The challenge
Pajama time was burning out the medical staff
Physicians averaged two hours of after-hours documentation daily. Turnover cited charting burden as a leading cause, and previous dictation tools had shifted the work without shrinking it.
- ~2 hours daily after-hours charting
- Documentation cited in exit interviews
- Dictation tools moved work, didn't remove it
−62%p95 latency
Before
3.4s
After
1.3s
Cost / 1k tasks
$41
Optimized
$14
The solution
Drafts that arrive before the clinician does
Notes drafted from encounter data and ambient capture, mapped to the system's templates and coding requirements, delivered inside the EHR for review and sign-off. Every AI contribution is flagged, editable and audited.
- Template-mapped drafts with coding suggestions
- In-EHR review flow, one tap to accept or edit
- Every AI contribution flagged and traceable
Copilot
Draft renewal summary for Acme Corp
3 accounts show churn risk — view analysis
Ask anything…
The impact
Time back, quality up, compliance satisfied
Documentation time fell 68%; note completeness scores improved. The compliance committee approved expansion after the pilot — the visible controls and zero PHI incidents made the case.
- 68% documentation time reduction
- Note quality scores improved, not traded
- Compliance-approved expansion after pilot
Groundedness
96%
Safety
100%
Task success
93%
Tone & format
91%
CI gate passedrelease promoted to production
Outcomes
What changed for the health system
Clinician wellbeing
After-hours charting cut to minutes for most physicians.
Patient contact
More face time per visit, screens down.
Coding accuracy
Suggested codes with chart evidence improved capture.
Retention
Charting burden dropped out of exit-interview themes.
Compliance posture
Zero PHI incidents; controls visible in audit.
Rollout momentum
Waiting list of departments requesting access.
Delivery
From challenge to outcome
We publish the architecture decisions, delivery approach and measurable results — so you can see how similar outcomes could apply to your enterprise.
- Measurable KPIs
- Architecture transparency
- Cross-industry patterns
- Repeatable playbooks
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1
Challenge
Business pressure, legacy process and constraints.
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2
Solution
Architecture, agents and integration design.
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3
Delivery
Build, evaluate, secure and launch.
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4
Impact
Efficiency, cost, quality or revenue outcomes.
I finish my notes before I leave the building now. My kids noticed before my administrators did.
Under the hood
The stack behind the system
HIPAA-aligned deployment integrated with the system's EHR via FHIR.
- Anthropic Claude
- Azure Health
- Epic
- FHIR
- Okta
- Kubernetes
- Terraform
- Datadog
- Presidio
- Postgres
FAQ
Common questions
Does the AI ever finalize a note itself?
Never — sign-off is structurally required. The system drafts; licensed clinicians decide. That boundary is enforced in the workflow, and it's why the compliance committee said yes.
How is PHI protected?
Minimum-necessary data flows, BAA-covered model endpoints, redaction in every log, and immutable access audit. The privacy officer co-designed the architecture.
What about specialties with unusual documentation?
Templates and eval sets are built per specialty during rollout — each department goes live only when its own clinicians rate the drafts ready.
Next step
Want your clinicians home by dinner?
Start with one department — measurable time savings in a single quarter.