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Artificial Intelligence (AI) in Learning and Health Systems: UW Health's Ambient Listening Case Study

Author
UW Madison's Institute for Clinical and Translational Research/Learning Health System Program
Published
Fri 20 Jun 2025
Episode Link
http://sites.libsyn.com/568170/artificial-intelligence-ai-in-learning-and-health-systems-uw-madisons-ambient-listening-case-study

In this episode, we meet with Dr. Joel Gordon, UW Health's Chief Medical Informatics Officer, to talk about the purpose and promise of adopting an LHS approach to using artificial intelligence (AI) to improve health care.

We focus specifically on UW Health's recent LHS project and study, an evaluation of an Ambient Listening tool to lessen clinical documentation burden and enhance provider well-being in an outpatient setting. In this lively conversation, we discuss the extensive planning and ongoing adaptations for improvement that the project involved--from establishing a governance structure that could effectively drive the project--to ensuring all regulatory requirements were met. 

Dr. Afshar explains how using a pragmatic clinical trial design yielded a novel Pramatic Trial Operations (PTOps) playbook for health systems interested in exploring this use case for AI in clinical practice. The PTOps Playbook is publicly available for researchers to use should they wish to replicate the study and implementation within their health system.

Dr. Gordon details some the extraordinary opportunties the AI ambient listening project presented for UW Health, even as we recall the challenges of aligning the Institute's research and UW Hospital's operational timelines, as well as developing strategies and tools for ongoing monitoring of real-time data. 

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