AI in Hospital Medicine: A Physician's Guide to the Future

Rounds reimagined: see how AI and machine learning move from code to bedside. In this on-demand course, hospitalists will understand core models, learn where AI already improves triage, diagnostics, and throughput, utilize tools like ChatGPT for education and documentation, and analyze ethics, bias, and safety. Build confidence to design small pilots, evaluate impact, and lead your team into data-driven care.

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Availability

On-Demand

Expires on Apr 30, 2027

Cost

Member: $0.00

Non-Member: $55.00

Credit Offered

0.75 CME Credit

0.75 ABIM-MOC Point

0.75 Participation Credit

Overview
Faculty
Accreditation
Recommended

Learning Objectives
After completing this activity, learners should be able to:

Gain a foundational understanding of how artificial intelligence and machine learning algorithms work.
Understand various ways in which AI technologies are currently being applied in hospital medicine.
Learn how to get more involved in data science as a physician.
Utilize AI tools such as ChatGPT practically for use cases such as medical education and increase productivity.
Analyze current trends and future potential of AI in the medicine, and understand challenges and ethical considerations.

Faculty

Zhe Chen

Faculty Disclosures (PDF)

Faculty Disclosures
The individuals in control of content for this activity have no relevant relationships with ACCME-defined ineligible companies to disclose unless listed here. Any relevant relationships were mitigated prior to the start of this activity.

Accreditation Statement
The Society of Hospital Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

CME Credit Statement
The Society of Hospital Medicine designates this enduring material for a maximum of 0.75 AMA PRA Category 1 Credit(s)^TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

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