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.

目的： 总结观测性医疗结果合作组织（OMOP）通用数据模型（CDM）在中国的应用研究现状，为我国数据标准化和证据共享的实施策略提供参考。 方法： 检索PubMed、Embase、Web of Science、中国知网、维普数据库、万方数据知识服务平台、中国生物医学文献系统等数据库自建库以来至2023年3月15日中国医疗机构/平台使用OMOP CDM对数据进行标准化的相关研究。提取机构、患者类型和数量等信息。 结果： 共纳入14篇文献，其中英文9篇，中文5篇。自2018年以来，相关研究陆续发表，重点关注高血压、糖尿病和抑郁患者。共有12家机构/平台将数据转化为OMOP CDM。江苏省人民医院在国内率先应用OMOP，论证了其可行性。宁波市鄞州区区域信息平台对糖尿病和高血压患者的多维数据进行了标准化。基于此平台已构建了糖尿病患者并发症系列预测模型。来自北京安定医院的另一大型数据库使用OMOP CDM探讨老年抑郁症和痴呆患者的特征。 结论： 本研究总结了OMOP CDM在中国的应用研究现状。通过对具体案例的深入分析，本研究为跨区域的证据共享和合作提供了潜在的方向。.