Japan Association for Medical Informatics

[2-C-3] Progress in Developing a Common Platform for Structured Electronic Medical Records to Accelerate Multi-center Clinical Research: A Structured Clinical Template Using the FHIR Questionnaire Resource and the JASPEHR Project.

*Kengo Miyo1, Kenji Hatano2, Masamichi Ishii3, Mitsumasa Takahashi4, Yasushi Okada5, Kazuki Takizawa6, Keisuke Kakiuchi7, Masafumi Okada8 (1. Japan Health Research Promotion Bureau , 2. National Center of Neurology and Psychiatry, 3. National Center for Global Health and Medicine, 4. Fujitsu Japan Limited, 5. NEC Corporation, 6. IBM Japan, Ltd, 7. FINDEX Inc, 8. rime Research Institute for Medical RWD, Inc)

Clinical Template System, FHIR, JASPEHR, EHR, Clinical Research

Recently, the movement to re-evaluate the state of clinical information has been rapidly growing, and "standardization of electronic health record (EHR) information" is once again becoming a mainstream policy issue. Although there have been a lot of efforts to directly collect EHR data and build healthcare big databases, those have been limited to storing information in SS-MIX2 standardized storage. The collection of richer and more structured patient information is necessary for more complex clinical studies. For this purpose, Electronic Data Capture (EDC) method are widely used in the field of clinical registries, but it imposes a double entry burden on physicians. One means of eliminating manual transcription and collecting patient clinical information directly from EHRs is direct data capture (DDC) method using clinical templates on EHR systems. Based on HL7 FHIR, which is expected to be widely used in Japan, we are developing a vendor-neutral clinical template input/output function for DDC systems. Specifically, a clinical template for each EHR vendor is generated based on the information provided in the FHIR Questionnaire. This paper shares the latest status of vendor-independent efforts toward a "common infrastructure for the EHR that accelerates multicenter clinical research," and discusses its contribution to the standardization of EHR information and the advancement of clinical research.