Safe Table Forum

Hospital Survival Guide to AI: Needs, Misconceptions & Next Steps

December 3, 2025 | 11:00AM - 12:30PM PT

Every Hospital in the world was told to form an AI Taskforce to make sense of the tidal wave of technology crashing into healthcare—but who has time for another board meeting? 

Skip the bureaucracy. Join us for this high-energy, interactive webinar where frontline leaders share exactly how they’re using AI, what challenges they’re facing, and what solutions are working now. 

Think of this CHPSO Safe Table virtual forum as your all-in-one AI Advisory session without the endless agenda. We’ll start with a panel of diverse voices from across healthcare, move into solutions you can use immediately, and then open the floor for real talk, tough questions, and collaborative problem-solving. 

Don’t miss your chance to cut through the noise and discover what AI in healthcare really and truly means for you.

Presentation topics include:

  • Discuss priority areas of need as shared by a diverse panel of healthcare leaders 
  • Discuss the limitations of what AI can truly do in healthcare today 
  • Explore practical solutions and strategies for safe, effective AI implementation 
  • Identify common misconceptions that lead to wasted resources, or risk when deploying AI solutions 
  • Specify an action-ready roadmap for approaching AI in their own organization

Click here to register via GoToWebinar.

Wednesday, December 3, 2025: 11:00 a.m.- 12:30 p.m. (PT)

Dr. Xiaoqian Jiang is Associate VP for Medical AI, Chair of Health Data Science and AI, and the Christopher Sarofim Professor at UTHealth Houston. He directs the Center for Secure AI for Healthcare (SAFE) and is a leading expert in privacy-preserving data mining, federated learning, and explainable AI. Funded by multiple NIH grants and honored with awards such as CPRIT Rising Stars, his research spans Alzheimer’s prevention, robotics for healthy aging, and human-in-the-loop AI.

Adrian is the Founder & CEO of Atomic Healthcare Solutions and a seasoned pharmacy leader with 18+ years of experience across health systems and care settings. Formerly Chief Pharmacy Officer and VP of Pharmacy Services, he delivered over $68M in financial benefits in one year. A national speaker and advisor, he has been recognized as a Top 40 Under 40 Healthcare Innovation Winner and led his team to win the 2023 ASHP Clinical Best Practice Award.

Adam Rodman, MD is a general internist and medical educator at Beth Israel Deaconess Medical Center and Assistant Professor at Harvard Medical School. He directs AI Programs at the Carl J. Shapiro Center for Education and Research, leads AI curriculum integration at HMS, and serves as an associate editor at NEJM AI and visiting researcher at Google DeepMind. His work focuses on medical education, clinical reasoning, and the integration of AI into healthcare. He is also the author of Short Cuts: Medicine and host of the ACP podcast Bedside Rounds.

Dane Morey, PhD is a Research Scientist in the Cognitive Systems Engineering Laboratory and Lecturer in the Department of Integrated Systems Engineering at The Ohio State University. His research focuses on design and evaluation strategies that facilitate resilient human-machine performance, especially for AI-infused technologies. He has experience designing and evaluating human-machine joint activity in domains spanning healthcare, intelligence analysis, aviation, space operations, and public health. Recently, his research has focused on synthesizing minimum evaluations requirements for responsible deployments of AI-infused technologies.

Deep Mattapally is an experienced healthcare leader dedicated to advancing patient safety, risk mitigation, and quality improvement in acute care settings with evidence based HRO principles and by adopting Learning Health Systems concepts. With a background in pharmacy and healthcare administration, she brings a multidisciplinary perspective to developing strategies that enhance system reliability and promote a culture of safety by collaborating with cross functional teams. Leveraging her learning experience in Informatics from the SQIL program at Harvard, Deep has successfully implemented various database applications such as RL Datix, Symplr, Policy Stat, HRP, Savioke RX Robot and PSO data submission to align with QIPS program goals.

HQI is an approved continuing education (CE) provider by the California Board of Registered Nursing and will provide CHPSO members an opportunity to earn CEs. Provider Number CEP16793 for 1.5 contact hours.

Please contact CHPSO at info@chpso.org if you have any questions.