Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)

Wen Wang; Ying-Hui Jin; Mei Liu; Qiao He; Jia-Yue Xu; Ming-Qi Wang; Guo-Wei Li; Bo Fu; Si-Yu Yan; Kang Zou; Xin Sun

doi:10.1186/s40779-024-00559-y

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Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)

METHODOLOGY | Updated：2025-12-13

- Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)
- Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)
- “在医疗数据分析领域，引入了一种新的算法开发指导系统。专家研究人员建立了DEVELOP-RCD系统，该系统提供了一个标准化的工作流程和13条建议，用于从常规收集的数据中准确识别健康状况。这一进展为提高观察性研究的可信度奠定了基础。”
- MMR 2025年12卷第5期页码：788-798
- Affiliations：
  
  1.Institute of Integrated Traditional Chinese and Western Medicine, Chinese Evidence-Based Medicine and Cochrane China Center, West China Hospital, Sichuan University, Chengdu 610041, China
  2.NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu 610041, China
  3.Sichuan Center of Technology Innovation for Real World Data, Chengdu 610041, China
  4.Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
  5.Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
  6.Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou 510317, China
  7.Biostatistics Unit, Research Institute at St. Joseph’s Healthcare Hamilton, Hamilton, ON L8N 4A6, Canada
  8.School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  9.West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
- Author bio：
  
  * wangwen@wchscu.cn
  sunxin@wchscu.cn
- Funds：
  
  the National Natural Science Foundation of China(82225049;72104155);the Sichuan Provincial Central Government Guides Local Science and Technology Development Special Project(2022ZYD0127);the 1·3·5 Project for Disciplines of Excellence, West China Hospital, Sichuan University(ZYGD23004)
- DOI：10.1186/s40779-024-00559-y
  中图分类号：
- 纸质出版：2025-05
- Accepted：
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Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)[J]. MMR, 2025,12(5):788-798.

Cite this article as: Wang W, Jin YH, Liu M, He Q, Xu JY, Wang MQ, et al. Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD). Mil Med Res. 2024;11(1):52.
Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)[J]. MMR, 2025,12(5):788-798. DOI： 10.1186/s40779-024-00559-y.

Cite this article as: Wang W, Jin YH, Liu M, He Q, Xu JY, Wang MQ, et al. Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD). Mil Med Res. 2024;11(1):52. DOI： 10.1186/s40779-024-00559-y.

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Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)

Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)

DOI：10.1186/s40779-024-00559-y