著者
Kenshi Hayashida Genki Murakami Shinya Matsuda Kiyohide Fushimi
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
vol.31, no.1, pp.1-11, 2021-01-05 (Released:2021-01-05)
参考文献数
32
被引用文献数
151

DPC, which is an acronym for “Diagnosis Procedure Combination,” is a patient classification method developed in Japan for inpatients in the acute phase of illness. It was developed as a measuring tool intended to make acute inpatient care transparent, aiming at standardization of Japanese medical care, as well as evaluation and improvement of its quality. Subsequently, this classification method came to be used in the Japanese medical service reimbursement system for acute inpatient care and appropriate allocation of medical resources. Furthermore, it has recently contributed to the development and maintenance of an appropriate medical care provision system at a regional level, which is accomplished based on DPC data used for patient classification. In this paper, we first provide an overview of DPC. Next, we will look back at over 15 years of DPC history; in particular, we will explore how DPC has been refined to become an appropriate medical service reimbursement system. Finally, we will introduce an outline of DPC-related research, starting with research using DPC data.

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#J_Epidemi Highly Cited: History and Profile of Diagnosis Procedure Combination (DPC): Development of a Real Data Collection System for Acute Inpatient Care in Japan Kenshi Hayashida et al. https://t.co/hrbyGFlTAQ https://t.co/gQ4OywQMOQ @J_Epidemi https://t.co/qz4ccMjIhO
Highly Cited: History and Profile of Diagnosis Procedure Combination (DPC): Development of a Real Data Collection System for Acute Inpatient Care in Japan Kenshi Hayashida, Genki Murakami, Shinya Matsuda, Kiyohide Fushimi https://t.co/5sdcTrxbVe https://t.co/1jXe2nlWPi
History and Profile of Diagnosis Procedure Combination (DPC): Development of a Real Data Collection System for Acute Inpatient Care in Japan, Journal of Epidemiology, 2021 Volume 31 Issue 1 Pages 1-11 https://t.co/8nBjDrww3s

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