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

Your Location：

Home >

Browse articles >

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)
- “In the realm of healthcare data analysis, a new guidance system for algorithm development has been introduced. Expert researchers have established the DEVELOP-RCD system, which offers a standardized workflow and 13 recommendations for accurately identifying health conditions from routinely collected data. This advancement lays a foundation for enhancing the credibility of observational studies.”
- Military Medical Research Vol. 12, Issue 5, Pages: 788-798(2025)
- 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：
- DOI：10.1186/s40779-024-00559-y
  CLC：
- Published：2025-05
- Accepted：
Scan QR Code
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：

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.

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

Jean-François Magnaval

Christian Oosterbosch

Michel Mandl

MABN group

Related Institution

Department of Medical Parasitology, Faculty of Medicine-Purpan

CNRS UMR ,-Sabatier University

Les Nouveaux Généralistes

Lieutenant-General (retired), Belgian Air Force

Mission Anthropologique Belge au Niger

⁰

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