Study on Challenges and Countermeasures for High-Utility Information Utilization using HL7 FHIR

Details

The research focused on establishing methodologies for achieving high-utility information utilization using HL7 FHIR. A key feature was addressing unique challenges in Japan's healthcare system beyond mere technical implementation. The study examined several critical areas: first, the long-standing discrepancy between 'diagnostic diagnoses' and 'insurance diagnoses,' proposing analysis methods using USCDI comparison and FHIR description techniques. For clinical research data utilization, the integration with CDISC standards was highlighted as crucial, emphasizing the need for mapping methodologies and establishing a standard infrastructure for RWD (Real World Data). Furthermore, it addressed the relationship between medical standardization and AI, proposing a framework where 'Clinical Information,' 'FHIR,' and 'Standard Terminology/Codes' operate as two complementary pillars. The necessity of continuous review and maintenance for clinically applied FHIR specifications (IG) was also emphasized, along with suggesting concrete management policies. In conclusion, the study argues that success requires approaching data utilization from multiple perspectives—including 'clinical motivation,' defining 'common clinical information items,' and ensuring 'continuous standardization'—rather than just system implementation.