Healthcare Interoperability: SNOMEDCT and Shared Clinical Meaning

This title was summarized by AI from the post below.

A recent Health Tech News webinar tackled the topic of how healthcare can tackle #interoperability challenges and the key steps that can be taken to make progress in this area. The panelists focused on the human and tech stumbling blocks that continue to pose challenges -- vendors' varying interpretations of interoperability and a lack of patient insight into their own health data, to name two -- and the mechanisms and approaches that can help overcome those barriers. Key takeaways include: ✅ 1. Use #SNOMEDCT as your “single source of truth" and establish it as the standard reference for all clinical coding and data models. This prevents duplication, reduces versioning issues, and ensures that every system in your architecture speaks the same clinical language. ✅ 2. Focus on shared clinical meaning, not just data exchange. True interoperability goes beyond APIs and interfaces — it depends on consistent, meaningful terminology. SNOMED CT enables that shared understanding across systems, care settings, and even national borders. ✅ 3. Align people and processes with the tech. The panel emphasized the importance of clinician engagement and workflow integration and of ensuring terminology and interoperability decisions are co-designed with those using the data every day. More here: https://lnkd.in/g3sCdHve

To view or add a comment, sign in

Explore content categories