Development and Pilot Evaluation of the Full-Cloud Personal Health Train for Secure Federated Analysis Across Clinical Research Core Hospitals in Japan...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
Real-world data derived from electronic medical records are increasingly used in medical research, but data sharing among institutions still faces privacy and operational challenges. To address these challenges, we developed the Full-Cloud Personal Health Train (FC-PHT), a cloud-based federated anal...
| Publicado en: | Studies in Health Technology & Informatics Vol. 336; pp. 1247 - 1252 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194019034&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194019034 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2026 vid: 336 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 194019034 194019034 194019034 10.3233/SHTI260398 194019034 ppf: 1247 ppct: 5 formats: tig: atl: Development and Pilot Evaluation of the Full-Cloud Personal Health Train for Secure Federated Analysis Across Clinical Research Core Hospitals in Japan...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy. aug: au: OKADA, Katsuki KONISHI, Shozo WADA, Shoya SUGIMOTO, Kento YUTANI, Akira KISHIMOTO, Kazumasa IWAO, Tomohide TERAO, Suzue NOMURA, Keiichi AOYAGI, Yoshihiro KURODA, Tomohiro TAKEDA, Toshihiro affil: The University of Osaka Hospital, Suita, Japan. sug: subj: Cloud Computing Privacy and Confidentiality Data Security Electronic Health Records Clinical Research Academic Medical Centers Japan Congresses and Conferences Italy Italy Human Japan Pilot Studies Implementation Science Heart Failure Drug Therapy Biological Markers Blood Angiotensin II Type I Receptor Blockers Therapeutic Use Endopeptidases Antagonists and Inhibitors Algorithms Metadata Data Analysis Software Paired T-Tests Descriptive Statistics Cardiac Patients Natriuretic Peptide, Brain Blood ab: Real-world data derived from electronic medical records are increasingly used in medical research, but data sharing among institutions still faces privacy and operational challenges. To address these challenges, we developed the Full-Cloud Personal Health Train (FC-PHT), a cloud-based federated analysis system that allows secure, end-to-end data extraction and analysis without transferring raw data. The FC-PHT architecture, implemented using Google Cloud services, consists of three major environments: Analysis Environment, Handler Environment, and Data Provider Environment, which work seamlessly to perform federated analysis. As a pilot evaluation, the FC-PHT was implemented across three Clinical Research Core Hospitals in Japan, and a preliminary analysis of heart failure biomarker related to angiotensin receptor–neprilysin inhibitor (ARNI) therapy was conducted using realworld data databases in these hospitals to evaluate the system’s functionality and feasibility. In the ARNI-related biomarker analysis, BNP showed no notable change after therapy, whereas NT-proBNP tended to decrease, consistent with expected pharmacological effects. The pilot evaluation demonstrated the feasibility of performing cloud-based federated analysis across institutions using the FC-PHT without physical data transfer. These findings suggest that the FC-PHT can securely and efficiently enable multi-institutional real-world data analysis while maintaining privacy and reducing operational burdens on researchers and data management staff. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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