The Value Transformation of Smart Healthcare: From Technology Implementation to Clinical Decision Support

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Smart healthcare is undergoing a profound transformation from merely being a 'technology demonstration' to achieving 'systemic integration.' This shift signifies that technologies like AI and FHIR standards are moving beyond being high-performance tools; they are restructuring the entire operational logic of the medical system. Industry trends point toward 'platformization' and 'ecosystem integration.' Single-point applications, such as AI diagnosis, struggle to achieve economies of scale without linking to existing hospital systems like EMR or HIS. Consequently, there is a push for building 'platform modules' with standardized interfaces. Technologically, FHIR (Fast Healthcare Interoperability Resources) functions not just as an exchange format but as a 'systemic framework for data interoperability,' enabling the secure decomposition and recombination of heterogeneous data. Meanwhile, generative AI is advancing into clinical settings—used for summarizing medical records or Q&A—evolving into 'context-aware decision support tools.' However, challenges remain regarding hallucination, medical accountability, and regulatory oversight. From a policy perspective, Taiwan's initiatives, such as the Smart Healthcare Labeling System (since 2021) and AI diagnostic payment trials (late 2024), are elevating AI from an auxiliary technology to a formal component of clinical care. The article suggests that industry advancement must follow three axes: value-driven approach, process integration, and modular platform development.