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Analyzing Patient-Sharing Network Using an Administrative Claim Database in Japan
Tomoki Ishikawa, Akihito Kako, Hiromasa Yoshimoto, Junko Hattori, Kazuo Goda, Naohiro Mitsutake
1126 - 1130
10.3233/SHTI231140
Research Article
Studies in Health Technology and Informatics
Volume 310: MEDINFO 2023 — The Future Is Accessible
Abstract

We analyzed the behavior of patient with a focus on patient-sharing based on the methodology of network analysis. We used an administrative healthcare claims database from September of the years 2008-2020 to identify shared patients with hypertension. The patients’ behavior of visiting multiple medical facilities was extracted as graphical data, and we calculated density and centrality as indicators to evaluate the structure of the patient sharing network. Our findings indicate that density, reciprocity, and transitivity increased over time, and that centrality and PageRank were correlated.

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