OperationsData ManagementHigh complexity
Medical Records Integration
Join patient records spread across hospital systems, laboratories and community care into one usable view.
How we approach it
Map each source to FHIR, match patients across systems and resolve duplicates, with a human queue for uncertain matches. Language models extract structured data from free-text letters, with the source text kept alongside. The design follows the European Health Data Space requirements for access and exchange.
Business value
A complete record and fewer repeated tests
Technology stack
- FHIR
- master patient index
- NLP extraction
- integration engine
Related service
Proprietary AI DevelopmentRelated use cases
- Healthcare · OperationsClinical Decision SupportBring guidelines and the patient's own record together at the point of care, without the tool becoming an unregulated medical device.
- Healthcare · OperationsPatient Triage OptimisationPrioritise patients in emergency departments and urgent care when demand outruns capacity.
- Healthcare · OperationsClinical Prediction ModelsPredict readmission, deterioration and length of stay from the hospital's own history.