Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.

Journal: AMIA ... Annual Symposium proceedings. AMIA Symposium
Published Date: May 22, 2025

Abstract

Healthcare providers learn continuously, but better support for provider learning is needed as new biomedical knowledge is produced at an increasing rate alongside widespread use of EHR data for clinical performance measurement. Precision feedback is an approach to improve support for provider learning by prioritizing coaching and appreciation messages based on each message's motivational potential for a specific recipient. We developed a Precision Feedback Knowledge Base as an open resource to support precision feedback systems, containing knowledge models that hold potential as key infrastructure for learning health systems. We describe the design and development of the Precision Feedback Knowledge Base, as well as its key components, including quality measures, feedback message templates, causal pathway models, signal detectors, and prioritization algorithms. Presently, the knowledge base is implemented in a national-scale quality improvement consortium for anesthesia care, to enhance provider feedback email messages.

Authors

  • Zach Landis-Lewis
    Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Yidan Cao
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
  • Hana Chung
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
  • Peter Boisvert
    Department of Learning Health Sciences of the Medical School.
  • Anjana Deep Renji
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
  • Patrick Galante
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
  • Ayshwarya Jagadeesan
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
  • Farid Seifi
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
  • Allison Janda
    Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI.
  • Nirav Shah
  • Andrew Krumm
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
  • Allen Flynn
    Department of Learning Health Sciences Medical School University of Michigan Ann Arbor, MI.

Keywords

External Resources

Popular Topics
Recent Journals