Credit Hours: CME 1.00

Target Audience:

Faculty, residents, fellows, and community physicians in General Internal Medicine and subspecialties.

Educational Objectives:

Upon completion of this activity, participants should be able to:

Recognize the need for AI to support clinical activities to overcome specific clinical challenges.
Outline the approach for evaluating AI developed for clinical activities.
Learn about ongoing AI-based clinical decision support projects in Pitt/UPMC.

Suggested Additional Reading & Joint Accreditation Statement - Note: This Accreditation Statement Supersedes All Other Statements:

Suggested Additional Reading

Visweswaran S, King AJ, Cooper GF. Integration of AI for Clinical Decision Support. In Cohen TA, Patel VL, Shortliffe EH (Eds): Intelligent Systems in Medicine and Health: The Role of AI. Springer; 2022.
Park Y, Jackson GP, Foreman MA, Gruen D, Hu J, Das AK. Evaluating artificial intelligence in medicine: phases of clinical research. JAMIA Open. 2020 Sep 8;3(3):326-331. PMID: 33215066; PMCID: PMC7660958.
King AJ, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Using machine learning to selectively highlight patient information. Journal of Biomedical Informatics. 2019 Dec;100:103327. PMID: 31676461; PMCID: PMC6932869.

Joint Accreditation Statement

In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Physician (CME)

The University of Pittsburgh School of Medicine designates this enduring material activity for a maximum of 1.0 AMA PRA Category 1 Credits™.Each physician should only claim credit commensurate with the extent of their participation in the activity.

Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.

Authors:

Shyam Visweswaran, MD, PhD — Professor of Biomedical Informatics & Vice Chair for Clinical Informatics, Director, Center for Clinical Artificial Intelligence, University of Pittsburgh, PA
No planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose.

Yanshan Wang, PhD, FAMIA — Vice Chair of Research and Assistant Professor, Department of Health Information Management, and Intelligent Systems Program, Department of Biomedical Informatics, Clinical and Translational Science Institute, UPMC Hillman Cancer Center at the University of Pittsburgh
No planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose.

No other members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships with any companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.

This activity is approved for AMA PRA Category 1 Credit™

The University of Pittsburgh is an affirmative action, equal opportunity institution.