DiMe Panel Debates AI, Data Interoperability, and FHIR Standards

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During the Digital Medicine Society (DiMe) Healthcare 2030 event in Washington, D.C., a panel discussion addressed how AI enables transformation through data analysis and computing. The panelists highlighted significant challenges regarding interoperability and the need for industry-wide standards. A key consensus point was that establishing sustainable data flows requires infrastructure and standards informed by content and context. While FHIR has been helpful, speakers emphasized that adoption is often hindered by 'change management' rather than technology alone. However, some panelists challenged the idea of a single standard, arguing that market-based differences in information transmission methods will persist across different market segments and regions (e.g., outside the U.S.). They suggested viewing interoperability not as one protocol, but as a collection of standards allowing for meaningful processing and reliability. The panel agreed that the CMS Interoperability Framework is a positive step forward, concluding that collective agreement on behavioral changes within the industry is necessary to overcome current issues.