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CareLoop — AI Health Diary & Clinical Note Assistant (SOAP)

CareLoop is an AI-powered assistant that summarizes, cleans, and structures health-related information for both patients and clinicians—combining an AI Health Diary Summarizer with a Clinical Note Cleaner (Voice → SOAP) into one closed-loop prototype.

What the Prototype Does

Patient Mode — Health Diary Summarizer (Text/Voice)

  • Log symptoms, food, mood, sleep via text or voice
  • Get temporal visual summaries, trend highlights, and gentle, non-medical guidance prompts
  • Generate a Pre-Visit Summary (last N days) for faster clinical context

Clinician Mode — Clinical Note Cleaner (Voice → SOAP)

  • Record clinician dictation → transcribe → generate structured SOAP notes:
    • Subjective, Objective, Assessment, Plan
  • Optional “evidence linking”: SOAP sentences can reference the relevant transcript spans for traceability

Closed Loop — Plan Back to Patient

  • Convert SOAP Plan into a simple patient checklist (follow-ups, measurements, reminders) to support continuity of care

2-Minute Demo Flow (What the Jury Should Try)

  1. Patient enters or records a short diary entry (text/voice)
  2. App displays trend visualization + a concise summary
  3. Click Generate Pre-Visit Summary
  4. Clinician records a short dictation
  5. App outputs a clean SOAP note
  6. Click Send Plan to Patient to generate a follow-up checklist
  7. Open Privacy Panel to verify synthetic-data + PHI controls

Architecture (High-Level)

  • Speech → Text for diary entries and clinician dictation
  • Medical entity extraction (symptoms/meds/durations) to improve structure
  • LLM structuring into:
    • patient summaries + trend highlights
    • clinician-ready SOAP output (schema-based)

See: docs/ARCHITECTURE.md


Azure Services Used

  • Azure Speech-to-Text — transcription (patient + clinician)
  • Azure OpenAI / AI Foundry — summarization + SOAP structuring
  • Text Analytics for Health — medical concept extraction / NER
  • (Optional) Azure ML — deployment of the API as a managed endpoint

Privacy & Compliance (Hackathon Safe-by-Design)

  • No real personal data / no PHI is used in this repository.
  • All demos run on synthetic or anonymized content only.
  • Optional PHI redaction is available for extra safety in demos.

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