Use case: shared information and secondary use

Records created in hospitals, general practice, and social care organisations are aggregated for planning, research, and policy — and stay comparable, because they were recorded against the same concepts in the first place.

Most analytics programmes spend their effort reconciling data that meant different things when it was written down. A conformant model moves that reconciliation to the point of recording, where it belongs.

Figure 1. From records of care to decisions from data
From records of care to decisions from dataProfessional health records from a hospital and a GP practice and a social care provider record feed health record extracts and a social record extract into a shareable data repository, which supplies commissioning and service planning, population analytics and research, and policy and evaluation. RECORDS OF CARE DECISIONS FROM DATA Professional health record hospital Professional health record GP practice Social care provider record community organisation health record extract social record extract Shareable data repository same concepts in, comparable data out Commissioning & service planning Population analytics & research Policy & evaluation Because every record speaks the same system of concepts, extracts aggregate across clinical and social care without semantic loss — and the answers are comparable, not merely combined.

Concepts at work

  • Each provider keeps a professional health record — or, in the community, a social care provider's record — structured around the same concept system.
  • Health record extracts and social record extracts carry defined subsets of those records for communication, with their meaning intact.
  • A shareable data repository aggregates the extracts. Because activities, episodes, needs, and outcomes were recorded against shared concepts, counting and comparing them across organisations — and across the clinical–social boundary — is legitimate, not approximate.
  • The outputs serve commissioning, population analytics, research, and policy — the secondary uses the standard was explicitly designed to support alongside direct care.

The benefit compounds over time: every new data source that conforms adds to the picture instead of adding to the mapping backlog.