PERSONAL / AI / PROJECT
MedCare AI
Clinical Symptom Triage & Patient Risk Classification Assistant
Explore the architecture and capabilities below.
MedCare AI assists clinics and telehealth platforms in triaging inbound patient inquiries. By asking structured diagnostic follow-up questions, it calculates emergency risk scores and formats structured clinical intake notes for physicians.
The problem worth solving.
Emergency rooms and outpatient clinics suffer from triage bottlenecks because initial patient intake is conducted through unstandardized phone calls and paper questionnaires.
Engineered around the work.
Built a HIPAA-ready symptom assessment platform that conducts conversational patient intake, classifies urgency based on clinical protocols, and generates formatted SOAP notes for attending physicians.
What the system makes possible.
- 01
Medical AI Safeguards
- 02
Clinical Intake Workflow
- 03
HIPAA Architecture
- 04
Mobile-First UI
Under the surface.
- 01
Clinical decision tree logic paired with constrained LLM medical reasoning safeguards
- 02
Multilingual audio intake engine supporting diverse patient languages and dialects
- 03
End-to-end encrypted storage of electronic health records adhering to HIPAA encryption standards
- 04
FHIR/HL7 API integration for direct synchronization with Hospital Information Systems