Achieving real-world success with AI

How one health system is doing it. Diagnostic Imaging, a leading media outlet for radiologists and medical imaging professionals, recently featured insights from TidalHealth’s experience incorporating AI into clinical decision making.

By | 1 minute read | June 11, 2021

Male physician seated at desk looking at computer

This bylined article first appeared on Diagnostic Imaging on June 10, 2021, republished in part with permission.

“If we told clinicians, ‘we will use advanced math to help you improve care,’ they would probably be fine with it. But the term ‘artificial intelligence’ raises natural skepticism about what it really means.” – Mark D. Weisman, MD, MBA, Chief Medical Information Officer, TidalHealth

“First, do no harm” is a promise many of us make when becoming clinicians. To me it means that, for as long as I practice medicine, I must carefully weigh the risks and benefits of my decisions for patients. This principle underpins a healthy skepticism from some clinicians when learning about new approaches and technologies, such as artificial intelligence (AI), that claim to improve patient care.

In my conversations with other clinicians, I sometimes encounter a wariness that AI could one day replace us, which could negatively affect quality patient care. This is why trust and evidence are essential to incorporating AI into medical practice. But that trust and evidence stems from rich involvement from clinicians themselves.

TidalHealth, a health system serving the Delmarva Peninsula, a peninsula between the Chesapeake Bay and the Atlantic Ocean shared by the states of Delaware, Maryland and Virginia, is successfully integrating AI into its clinical workflows. The health system has taken a proactive, thoughtful and – most importantly – ongoing journey to adoption. Two critical leaders in TidalHealth’s journey are John Jordan, PharmD, BCPS, Senior Director of Pharmacy Services, and Mark D. Weisman, MD, MBA, Chief Medical Information Officer.

Based on my experience with TidalHealth, the day-to-day challenges I experience as a practicing radiologist, the feedback I receive from my fellow clinicians and the research that Watson Health has conducted on the topic, I believe there are three guiding principles hospitals can follow as they begin to build up their AI capabilities.