HealthcareRepresentative engagement, details anonymised
A clinical workflow prototype, hardened for real patient data
An AI-built triage-support tool moved from a founder's prototype to a privacy-hardened platform integrated with clinical systems.
The challenge
A health-tech team had validated demand with an AI-assisted prototype, but it stored patient-identifiable data in a single shared database, had no access logging, and failed its first information-governance review. The prototype could not legally or safely touch real records.
The approach
- 01Production-readiness assessment mapping every gap against data-protection and clinical-safety requirements
- 02Rebuilt the data layer with tenant isolation, field-level encryption, and full access logging
- 03Introduced FHIR-based integration with the client's target clinical systems
- 04Stood up 24/7 monitoring with response targets agreed for care-adjacent incidents
Facing something similar?
Start with a technical assessment: fixed scope, written findings, and a clear plan whether or not we continue together.