Making AI Work in the Real World: Practical Lessons from Clinical and Public Health Applications
Accredited for 1.0 AMA PRA Category 1 Credits™
Tuesday, Dec. 2, 2025
7 – 8 p.m. ET
Members: FREE
Nonmembers: $75
Registration required.
Program description:
AI is rapidly moving from concept to clinic, but real-world use remains challenging. This session explores how emerging AI tools are being applied to everyday problems in health care — from detecting reportable diseases and summarizing complex charts to analyzing large volumes of EHR data for decision support. Drawing on recent implementation projects, Dr. Grannis will share what’s working, what isn’t, and what’s next for safely integrating AI into clinical and public health practice.
Objectives:
At the end of this live webinar, attendees will be able to:
- Describe current applications of artificial intelligence (AI) in clinical and public health settings, including examples of disease detection, chart summarization, and data analysis for decision support.
- Evaluate common challenges and limitations encountered in implementing AI tools in real-world healthcare environments.
- Review strategies and best practices for safely and effectively integrating AI technologies into clinical workflows and public health pratice.
Speaker:
Shaun J. Grannis, MD, MS, FAAFP, FACMI, FAMIA
Vice President, Data and Analytics, Regenstrief
Chief Medical Information Officer, Indiana Health Information Exchange
Professor, Family Medicine at the Indiana University School of Medicine
About the speaker:
Shaun Grannis, MD, MS, FAAFP, FACMI, FAMIA is an internationally recognized leader in health informatics, data strategy, and artificial intelligence applications in healthcare. Hisresearch and leadership focus on harnessing large-scale health data to improve patient care, population health, and biomedical discovery. His work spans patient record linkage, real-world data integration, AI-driven clinical research, and public health surveillance. He has advised the U.S. Department of Health and Human Services, the National Institutes of Health, and multiple global partners on health data infrastructure and innovation. With decades of experience bridging healthcare, academia, and industry, Dr. Grannis is committed to advancing responsible AI and data science to drive a meaningful impact in healthcare systems worldwide.
CME INFORMATION
Designation Statement: The Indiana State Medical Association (ISMA) designates this live webinar for a maximum of 1.0 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Accreditation Statement: The Indiana State Medical Association (ISMA) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Disclosure Policy: In accordance with the ACCME Standards for Integrity and Independence in Accredited Continuing Education, educational programs sponsored by the ISMA must demonstrate balance, independence, objectivity and scientific rigor. Prior to the activity, all faculty, authors, editors and planning committee members participating in an ISMA-sponsored activity are required to disclose to attendees any relevant financial relationships with an “ineligible company” whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.
Disclosure Statement: No member of the CME Planning Committee or our speaker have any relevant financial relationships to disclose.
If you have questions, contact ISMA Continuing Medical Education staff at 800-257-4762 or seminars@ismanet.org.
REGISTRATION DEADLINE: Dec. 2, 2025 at 6:30 p.m. ET