Accessibility settings

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87306, first published .
Medical team in a meeting, discussing data on a large screen.

Privacy-Preserving Framework for Multi-Institutional Medical Time-Series Analysis via Homomorphic Encryption: Design and Development Study

Privacy-Preserving Framework for Multi-Institutional Medical Time-Series Analysis via Homomorphic Encryption: Design and Development Study

Yao Lu   1 * , PhD ;   Yu Tian   2 * , PhD ;   Tianshu Zhou   1 , PhD ;   Jing Xia   1 , PhD ;   Zhensong Zhao   2 , BSc ;   Huiyao Sun   1 , MSc ;   Kangli Liu   1 , MSc ;   Jingsong Li   2, 3 , PhD

1 Research Center for Scientific Data Hub, Zhejiang Lab, Hangzhou, Zhejiang, China

2 Engineering Research Center of EMR and Intelligent Expert System, Key Laboratory for Biomedical Engineering of the Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China

3 School of Intelligent Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China

*these authors contributed equally

Corresponding Author:

  • Jingsong Li, PhD
  • Engineering Research Center of EMR and Intelligent Expert System, Key Laboratory for Biomedical Engineering of the Ministry of Education
  • College of Biomedical Engineering and Instrument Science, Zhejiang University
  • 38 Zheda Road
  • Hangzhou, Zhejiang 310027
  • China
  • Phone: 86 13958134365
  • Email: ljs@zju.edu.cn