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Journal article

观测性医疗结果合作组织通用数据模型在中国的应用研究现状

Alternative title:
Study of application of common data model of observational medical outcomes partnership in China
Abstract:

Objective
To comprehensively evaluate the application of Common Data Model (CDM) of Observational Medical Outcomes Partnership (OMOP) in China, and provide reference for the implementation of data standardization and evidence sharing in China.

Methods
PubMed, Embase, Web of Science, CNKI, VIP, WanFang and SinoMed databases were used for literature retrieval to collect the research papers of OMOP CDM application for data standardization in China until March 15, 2023. The information about institutions, types and numbers of patients were extracted.

Results
A total of 14 research papers, including 9 in English and 5 in Chinese, were selected. The research papers published since 2018 were collected, which focused on patients with hypertension, diabetes, and depression. A total of 12 institutions or platforms transformed data into OMOP CDM. Jiangsu Provincial People's Hospital was the first one to apply the CDM and demonstrated its feasibility in China. Additionally, the regional information system in Yinzhou District of Ningbo, Zhejiang Province, standardized the multi-dimensional data of patients with diabetes and hypertension. Based on this platform, a series of prediction models for complications in patients with diabetes were constructed. Another major database in Beijing Anding Hospital applied OMOP CDM to analyze the characteristics of patients with late-life depression and dementia.

Conclusions
This study analyzed the application of OMOP CDM in China. Through in-depth analysis of specific cases, the study provided guidance for the future cross-regional evidence sharing and collaboration.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3760/cma.j.cn112338-20240924-00595

Authors


Publisher:
Zhonghua Yixuehui, Chinese Medical Association
Journal:
Zhonghua Liu Xing Bing Xue Za Zhi / Chinese Journal of Epidemiology More from this journal
Volume:
46
Issue:
5
Pages:
907-913
Publication date:
2025-05-10
DOI:
ISSN:
0254-6450
Pmid:
40494801


Language:
Chinese
Keywords:
Pubs id:
2129521
Local pid:
pubs:2129521
Deposit date:
2026-01-26
ARK identifier:

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