HeRC seminar: Towards a Feedback Intervention Ontology

This seminar will look towards how we can develop and evaluate a knowledge-based message tailoring system for clinical performance feedback.

Healthcare organisations are rich in data about care quality and outcomes, but lack generalisable strategies for putting their data to work to improve performance.

Giving clinical feedback to healthcare professionals is a widely used performance improvement strategy, but evidence about its use shows a pattern of mixed effects over decades of trials.

Psychological theory is underutilized in the design of clinical performance feedback, yet it offers robust explanatory mechanisms to improve the cognitive processing and impact of feedback messages. A knowledge-based message tailoring system could reason with theoretical knowledge and clinical performance data to predict optimal feedback message formats and content, while offering explanations of the message design rationale.

Our research goal is to develop and evaluate a knowledge-based message tailoring system for clinical performance feedback.

Speakers:

Dr Zach Landis-Lewis, Assistant Professor of Learning Health Sciences at the University of Michigan Medical School, Ann Arbor. 

Dr Dahee Lee, MSC student in Health Informatics at the University of Michigan