An AI layer for the
Clinical Workflow
Medremedio is building an AI layer that transforms unstructured patient-reported health concerns into structured clinical information and actionable documentation.
Platform Architecture
The Four Infrastructure Layers
Moving from unstructured patient narrative to connected clinical systems.
Patient-Reported Narrative
Conversational natural-language input capturing patient health concerns, symptom onset, and severity.
● LIVE IN MVPAI Intake & Triage
Clinical assistant Vita asks clarifying follow-up questions, screens for emergency red flags, and categorizes triage urgency.
● LIVE IN MVPStructured Clinical Summary
Formats narrative data into a standardized intake document displaying presenting concern, symptoms, duration, and triage next steps.
● LIVE IN MVPEHR & FHIR Interoperability
Future data exchange transferring structured clinical summaries into Epic, Cerner, and Athena health records via FHIR R4 APIs.
● ROADMAPCurrent vs Future
Built with Architectural Readiness
While third-party EHR connections are not currently live, Medremedio's data structures are built from day one around healthcare standards (Patient, Encounter, Observation, Condition, Medication, DocumentReference).