clinical AI
Dr. Deepti Pandita, UC Irvine Health CMIO & VP of Clinical Informatics, says that "if you don't have governance, anything can fall apart," and discusses the need to engage a diverse multi-stakeholder group to vet every AI project that is deployed.
Dr. Hojjat Salmasian, CDAO and leader of AI at Children's Hospital of Philadelphia, discusses the first steps toward an AI strategy for hospitals and health systems as well as the key elements needed.
Kenrick Cato, nurse scientist, pediatric data and analytics, Children's Hospital of Philadelphia, says that nurses are excited about AI but are cautious and while they want help from AI, they don't want AI to do their job.
WakeMed Health & Hospitals IS project manager Elizabeth Murumalla discusses the health system's deployment of genAI and predictive modeling and its collaboration with Epic to manage challenges.
Challenges such as workforce shortages that are not getting any better and tight funding are driving the healthcare industry toward AI deployment, says Rob Havasy, HIMSS senior director of informatics strategy.
Clinicians need to have integrity with how they present AI tools to their teams, focusing on how those tools can solve problems, says Josh Wymer, chief health information and data strategy officer at the Missouri Department of Health and Senior Services.
When implementing AI-powered assistants and ambient technologies, it is essential to know if what you are buying is an actual assistant and if it has features beyond just clinical documentation, says Punit Soni, founder and CEO of Suki.
The struggle is that "you can't just plop something in the middle of a system even though it has good effectiveness and expect people to change their behavior or trust it," says Dr. Cole Zanetti at Rocky Vista University College of Osteopathic Medicine.
If organizations are more transparent with clinicians and patients about AI adoption and deployment, stakeholders would feel more secure with it, says Nicole Ramage, senior market insights manager at HIMSS.
While most provider and payer organizations are using some form of AI, very few are getting demonstrable value at scale across the enterprise, says Tom Lawry, managing director of Second Century Tech.