Generative AI For the Hospitalist: A Practical Approach in a Rapidly Changing World

Generative AI is transforming medicine at lightning speed — and this immersive course will show you how to harness its power responsibly and effectively in hospitalist practice. The journey begins with a clear, approachable introduction to what GenAI is (and what it isn’t), cutting through the buzzwords to focus on what clinicians truly need to know. You’ll also gain a concise, practical overview of the latest GenAI models — from state-of-the-art GPT systems to multimodal and domain-specific models — and learn the key model parameters and optimizations (like temperature, context window, and prompt formatting) that can dramatically impact results. You’ll then dive into a hands-on beginner workshop, where you’ll learn to write effective prompts, practice using GenAI tools, and explore real-world clinical scenarios — no prior experience required. Building on this foundation, you’ll step back to examine the bigger picture in a session on responsible AI use, gaining practical frameworks for safe, ethical, and effective integration in clinical care, education, and research.

The course culminates in an advanced workshop that focuses not only on prompting strategies but advanced tools that are already changing the face of hospital medicine, including the use of AI scribes in hospital medicine work flows, retrieval augmented generation via tools like NotebookLM to keep up to date with the evidence, the promise and pitfalls of GenAI decision support tools, and finally how to use LLMs to help crack your most difficult cases. Given the rapid evolution of the AI landscape and ongoing development of new tools, specific examples and tools used in this agenda may change. We will update session content to ensure participants are learning with the most current, relevant, and clinically applicable AI capabilities available.

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Availability

On-Demand

Release on Mar 29, 2026 4:00 PM Central Daylight Time
Expires on Mar 29, 2027

Cost

$0.00

Credit Offered

3.75 CME Credits

3.75 ABIM-MOC Points

3.75 Participation Credits

Overview
Faculty
Accreditation
Recommended

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

Describe foundational concepts of Generative AI — including what it is, what it is not, and how it functions at a practical clinical level relevant to hospital medicine.
Recognize and apply key model parameters and prompt-writing techniques to improve the accuracy, clarity, and reliability of GenAI outputs in hospitalist documentation, communication, and clinical reasoning tasks.
Apply and evaluate responsible-use techniques (e.g., cross-model triangulation, bias-surfacing prompts) and advanced workflows such as custom GPTs, RAG-enabled retrieval, and automation strategies to enhance clinical efficiency and academic productivity.

Faculty

- Adam Rodman, MD, MPH
  - Dr. Rodman reports being an employee and recieving a research grant from Google.
- Gigi Liu, MD, MSc
- Daniel Restrepo, MD, FHM
- Sharmila Tilak, MD
- 2026 Annual Conference Committee

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 live activity for a maximum of 3.75 AMA PRA Category 1 Credit(s)^TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

MOC Credit Statement
Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 3.75 MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.

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