Name
Leveraging AI Tools to Improve Clinical Planning and QI Processes
Description

This interactive workshop will explore the uses of AI to inform clinical planning and quality improvement approaches supporting improved patient outcomes. The first half of the session will demonstrate the use of an AI tool to identify evidence-based interventions in preparation for a scheduled patient encounter. The second half of the session will demonstrate the use of an AI tool supporting a quality improvement process that retrospectively assesses a previous intervention with a patient. Participants will also explore how these approaches can be applied in academic and teaching settings, including training students and trainees to identify evidence-based interventions, as well as in supervision to support reflective practice and clinical skill development. The workshop will highlight practical ways these tools can enhance both applied clinical care and the education and training of future healthcare professionals.

Co-Authors
Lesley Manson, PsyD, Clinical Associate Professor, Director NCR BH, Arizona State University, Phoenix, AZ
Colleen Cordes, PhD, Clinical Professor, Arizona State University, Phoenix, AZ
Alison Sutton-Ryan, DBH, Clinical Assistant Professor, Arizona State University, Phoenix, AZ
Jeremiah Kaplan, MSW, Doctoral Student, Arizona State University, Phoenix, AZ
Tamara Mitchell, MSEd, MA, Instructional Designer Principal, Arizona State University, Phoenix, AZ
Content Level
All Audience
Tags
Quality improvement programs, Training/Supervision, Workforce development
Session Type
Concurrent
Objective 1
use AI to support to identify evidence-based interventions.
Objective 2
include the use of AI tools in clinical planning workflows.
Objective 3
leverage AI tools in QI processes that assess previous patient interventions.
Content Reference 1

Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare: Transforming the practice of medicine. Future Healthc J, 8(2), e188-e194. https://doi.org/10.7861/fhj.2021-0095

Content Reference 2

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthc J, 6(2), 94-98. https://doi.org/10.7861/futurehosp.6-2-94

Content Reference 3

Matheny, M. E., Goldsack, J. C., Saria, S., Shah, N. H., Gerhart, J., Cohen, I. G., Price, W. N., Patel, B., Payne, P. R. O., EmbĂ­, P. J., Anderson, B., & Horvitz, E. (2025). Artificial intelligence in health and health care: Priorities for action. Health Affairs, 44(2), 10.1377/hlthaff.2024.01003. https://doi.org/10.1377/hlthaff.2024.01003

Content Reference 4

Perlis, R. (2026). Stumbling Toward AI in the Clinic. JAMA, 335(10), e2523768-e2523768. https://doi.org/10.1001/jama.2025.23768