The Evolution of Shared Care Records – From Documents to Conversations

Key Takeaways

• Document-based SCRs were read‑only archives, limiting workflow integration
• Structured SCRs enable real‑time data sharing and reduce duplicate testing
• Platform SCRs support ecosystems of apps via APIs and standards
• Conversational SCRs use AI agents to proactively identify care gaps
• Better’s deployments demonstrate AI‑ready, cross‑border SCRs at national scale

Pulse Analysis

The evolution of Shared Care Records mirrors the broader digital transformation of health systems. Early document‑centric exchanges broke down silos by making discharge summaries and test results visible across institutions, but their static nature forced clinicians to duplicate data entry and limited integration with decision‑support tools. Structured SCRs solved these pain points by converting clinical narratives into computable data elements—problems, medications, observations—allowing real‑time queries, automated alerts, and a unified longitudinal view that cuts unnecessary testing and accelerates care pathways.

Building on high‑quality structured data, the third generation reframed SCRs as interoperable platforms. Open standards such as the International Patient Summary and openEHR enable seamless cross‑border data exchange, while robust APIs let third‑party developers layer specialized applications onto the shared record. Initiatives like London’s Universal Care Plan, Slovenia’s eKarton, and Ireland’s national SCR programme illustrate how ecosystems of care‑planning, analytics, and patient‑engagement apps can thrive without monolithic vendor lock‑in. This platform approach not only expands functionality but also creates new market opportunities for health‑tech innovators.

The frontier now lies in conversational, agentic SCRs that leverage artificial intelligence to move from passive access to proactive assistance. Protocols like the Model Context Protocol grant AI agents safe, context‑aware access to the longitudinal record, enabling natural‑language queries, automated identification of care gaps, and real‑time decision support for both clinicians and patients. As Europe rolls out the European Health Data Space, such AI‑ready SCRs become essential for secondary uses, population health analytics, and cross‑border research. Companies like Better, with deployments across Slovenia, Malta, Greece, and the UK, demonstrate that a standards‑first, AI‑compatible architecture can scale to tens of millions of records while maintaining regulatory compliance, positioning SCRs as a strategic asset in the next wave of value‑based care.