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Your search keyword '"Junko HATTORI"' showing total 2 results
Start Over Author "Junko HATTORI" Publisher ios press
2 results on '"Junko HATTORI"'

1. Analyzing Patient-Sharing Network Using an Administrative Claim Database in Japan.

Author

Tomoki ISHIKAWA, Akihito KAKO, Hiromasa YOSHIMOTO, Junko HATTORI, Kazuo GODA, and Naohiro MITSUTAKE

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. [ABSTRACT FROM AUTHOR]

Published
2023
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2. Analyzing Patient-Sharing Network Using an Administrative Claim Database in Japan.

Author

Tomoki ISHIKAWA, Akihito KAKO, Hiromasa YOSHIMOTO, Junko HATTORI, Kazuo GODA, and Naohiro MITSUTAKE

Subjects
DATABASES, HYPERTENSION, MEDICAL information storage & retrieval systems, HEALTH services administration, MEDICAL care, CONFERENCES & conventions, QUANTITATIVE research, SOCIAL network analysis, UNIVERSAL healthcare, HEALTH insurance reimbursement, MEDICAL records, HEALTH insurance, SEMANTIC Web, HEALTH care rationing
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. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

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