PROBLEM
Why this system exists
Clinicians face high documentation burden, but healthcare AI cannot be allowed to replace clinical judgment or silently finalize the medical record.
Regulated Healthcare AI
Active build
AI-Assisted Psychiatry Intake & Charting Platform
A clinician-controlled AWS healthcare workflow for telehealth intake, transcription, structured chart drafting, approval, and auditability.
A HIPAA-aligned architecture and active build for behavioral-health intake and clinical documentation, combining secure portals, video consultation, medical transcription, speaker separation, structured AI chart drafts, clinician review, encrypted PHI, access controls, audit logging, and EHR/FHIR integration patterns.
OUTCOME
What the build proves
Creates a practical workflow in which AI prepares the initial chart draft while the clinician reviews, edits, approves, and signs the final note.
IMPLEMENTATION PROOF
Evidence a technical reviewer can inspect.
Core implementation is in progress with working milestones and an explicit delivery roadmap.
Built capabilities
- End-to-end patient, clinician, transcription, draft, review, and export workflow
- HIPAA-oriented identity, encryption, audit, retention, and least-privilege controls
- Explicit clinician authority boundary before final chart export
Technology stack
AWSAmazon CognitoHealthScribeTranscribe MedicalKMSCloudWatchFHIRHuman-in-the-Loop
Evidence available
Clinical workflow architectureSeven-layer intake, charting, review, and output model
AWS reference architectureEdge, application, video, AI documentation, data, security, and integration layers
Human approval gatesConsent, transcript quality, risk review, clinician edit, approval, and sign-off
ENGINEERING BOUNDARIES
Precise claims build trust.
- AI drafts the chart; the clinician retains final authority over medical content.
- The platform is an active private build and does not claim completed production clinical deployment.
RECRUITER / HIRING MANAGER
Need the architecture walkthrough?
I can explain the design decisions, implementation evidence, tradeoffs, and production-hardening path in a focused technical review.