HIMSS26 Reveals Healthcare DX Evolution: AI, Interoperability, and Security Move to Scale

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HIMSS26 indicates that healthcare institutions are moving past the concept validation (PoC) stage into the execution phase of 'Innovation to Scale.' Experts propose an 'Algorithm Methodology,' emphasizing that before automating, existing processes must be reviewed and simplified. In terms of data interoperability, CMS is driving national data exchange networks using frameworks like TEFCA and QHINs, moving from simple institutional transfer to large-scale national connectivity. However, FHIR and similar technologies are only the starting point; the bottleneck for AI utilization is identified as the 'Computable Data Layer.' This means data must undergo semantic standardization and quality control before AI can be used in clinical or administrative processes. AI applications have evolved from generative tools to 'Agentic AI,' capable of multi-step tasks, with companies like Epic Systems presenting specific examples. Concurrently, this technological acceleration raises governance risks, such as the use of unauthorized 'Shadow AI.' This has made security measures like Zero Trust Architecture inseparable from AI deployment discussions. These trends suggest that digital investment is no longer an option but a 'necessary operational condition,' driven by labor and financial pressures in healthcare.