Patient Engagement

TheraCare Hx (Medical History)

Patient Engagement 1.2
Objective
This student-led project focused on developing a proof of concept to empower patients with access to their problem list, past medical history, and current conditions—while ensuring that clinicians remain in the loop to validate and preserve data integrity within the EHR.
Real-World Impact
Patient History Capture bridges the gap between patient storytelling and clinical documentation. By combining interoperable data retrieval with AI-powered dictation and clinician validation, it ensures that medical history is not only more complete—but also more accurate, actionable, and retained in the systems that matter most.

Simplifying patient and family history capture through smart dictation.​

The team built a secure, FHIR-compliant application that allows patients to speak or type their medical history, which is then captured using AI voice transcription (OpenAI Whisper + IMO APIs) and translated into standardized clinical language. Through integration with Health Gorilla’s FHIR services and USCDI standards, the app enriches patient-reported data with historical records from EHRs, ensuring accuracy and completeness. All outputs — from machine-readable JSON to narrative PDF reports — are HIPAA-compliant and designed for seamless integration back into the EHR. With clinician-in-the-loop functionality, the system ensures that AI-generated content is always validated by providers, supporting safety, compliance, and trust.

Key Features
  • Patient-Centered Data Capture: Patients can share their history by voice or text, with AI transcription standardizing inputs into clinical language.
  • Data Enrichment & Verification: Integrates with Health Gorilla to pull historical data using FHIR/USCDI, cross-checking and enhancing patient reported information.
  • Seamless EHR Integration: HIPAA-compliant outputs in JSON or PDF, plus FHIR-based reporting that feeds validated data directly back into the provider's system.
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