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The Future of Health Data Innovation: Process of Training Clinicians on the Use of Artificial Intelligence in Healthcare and Algorithmic Bias [CME eligible]
The Future of Health Data Innovation
“Process of Training Clinicians on the Use of Artificial Intelligence in Healthcare and Algorithmic Bias”
Dr. Benjamin Collins MD, MA, MS
Featured Speaker
Dr Benjamin Collins MD, MA, MS
Assistant Professor Department of Medicine
Assistant Professor Department of Biomedical Informatics
Vanderbilt University
About Dr. Collins
Dr. Benjamin Collins is an Assistant Professor of Clinical Medicine in the Division of General Internal Medicine and Public Health with a secondary appointment in the Department of Biomedical Informatics at Vanderbilt University Medical Center (VUMC). He completed Internal Medicine Residency at Temple University Hospital in Philadelphia, PA and earned an MA degree in Urban Bioethics during residency with a thesis on, “A Theory of Sociotechnical Justice in Healthcare.”
He completed a clinical informatics fellowship at Oregon Health & Science University in Portland, OR along with an MS degree in biomedical informatics with a capstone project on developing an online training module for clinicians in healthcare. This work received the 2022 American Medical Informatics Association Academic Forum Best Paper Award. He also completed a research fellowship at VUMC on ethical, legal, and social issues of AI in healthcare. At VUMC, he currently practices clinically as a hospitalist and works on research around ethics and equity in the context of clinical reasoning with AI in healthcare.
Learning Objectives
At the conclusion of this activity, participants will be able to:
Explain the importance of training clinicians on the use of artificial intelligence in healthcare and potential for algorithmic bias.
Analyze scientific literature to identify important content for clinicians to learn related to artificial intelligence in healthcare and algorithmic bias.
Plan training for clinicians on topics of emerging importance related to the use of artificial intelligence in healthcare.
Accreditation & Credits
Disclosures
Mitigation of Relevant Financial Relationships
The University of Miami adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity, including faculty, planners, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity.
Contact Information
Organizer
Alex Gonzalez
786-708-7312 · axg6653@miami.edu
Event Category
Informatics and Health Data Science · Dept. of Medicine · Public Health Sciences