Skip to content
MDU
Publication 2025

Safety Cases for ML in Health Systems

  • Clinical Data Ethics
  • Governance
  • Monitoring
Back to units Outputs archive

A practical framework for writing and reviewing safety cases for deployed ML in clinical workflows.

Includes templates for:

  • risk identification,
  • monitoring plans,
  • incident response,
  • and retirement criteria.
Partners
  • Civic Data Cooperative
Contact
research@mdu.edu.kg
Join a lab Contact partnerships
Note
Citations, downloadable artifacts, and a versioned record of outputs are available on request—contact our press office at press@mdu.edu.kg.