From Insurance Records to Epidemiology: Provenance and Processing of Japanese Claims Data

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Authors: Yoko M. Nakao, Toshiki Fukasawa, Koji Kawakami
Cited by: 7

Abstract

Administrative claims data have become central resources for epidemiology and health services research in Japan. These datasets provide large sample sizes, longitudinal coverage, and standardized coding, and are increasingly treated as “ready-made” sources for descriptive, causal, and predictive research. However, they are by-products of an insurance and reimbursement system, not purpose-built research registries. What is captured, and what is missing, is determined by institutional arrangements, fee schedules, and clinical workflows. Without understanding how these data are generated and processed, investigators risk misinterpreting variables, underestimating bias, and over-trusting sophisticated analyses.

Fields of Study & Subjects

Healthcare Policy and Management Advanced Causal Inference Techniques Data-Driven Disease Surveillance

Publication details

Journal / source
Annals of Clinical Epidemiology
Publisher
Society for Clinical Epidemiology
Publication date
1 January 2026
Language
EN