Artificial Intelligence (AI) presents a tremendous opportunity to impact patient lives and improve outcomes. But as with any new tech, there is risk involved. Hospitals may direct their AI resources to the wrong areas. They may misalign AI investments to the needs of the organization. They may invest in solutions that aren’t proven or simply don’t work. Avoid these pitfalls. Join AI leaders from Microsoft and Jvion for our webinar “How to Shape and Set Your Hospital’s AI Goals.”
WHAT YOU WILL LEARN
- What to expect from the AI healthcare market over the next 2 to 5 years
- How to define an AI strategy that aligns to organizational goals
- The key components of a successful, lasting AI strategy
- The next steps to operationalizing an AI strategy effectively
John Frownfelter, MD, FACPView presenter info
John Frownfelter, MD, FACP is an internist and physician executive in Health Information Technology and is currently serving as Jvion’s Chief Medical Information Officer where he leads the company’s clinical strategy. With more than 15 years’ leadership experience, he has a broad range of expertise in systems management, care transformation and health information systems.
Molly K. McCarthy MBA, RN-BCView presenter info
Molly K. McCarthy MBA, RN-BC is the National Director, US Provider Industry and Chief Nursing Officer in the Health and Life Sciences Sector for Microsoft. With over twenty-five years’ experience in the healthcare industry, Molly is passionate about uniting technology, clinicians and patients to improve care delivery, safety and outcomes.
Dr Anthony ChangView presenter info
I am a pediatric cardiologist and have cared for children with heart disease for the past three decades. In addition, I have an educational background in business and finance as well as healthcare administration and global health.
Even though I came from a strong academic background and have had renowned mentors as well as have authored and edited many articles and textbooks, I came to realize early in my career that medicine is woefully inadequate and often lacking in data-supported information and knowledge.
To better prepare myself for this new era of artificial intelligence, I returned to school and studied biomedical data science and artificial intelligence at Stanford School of Medicine. It was basically a four-year continually epiphanous and intellectually transformational journey.
On a personal level, I have two beautiful adopted daughters who are medically challenged with chronic diseases. I am reminded numerous times on a daily basis just how inadequate our medical world is and how a new biomedical world imbued with artificial intelligence (“medical” intelligence or “intelligence-based” medicine) will help every patient (including my two children) immensely.