WellSpan Health Surging Forward with AI in Clinical Care
By Christopher Cheney
WellSpan Health has gained confidence in implementing AI tools in clinical care and plans to launch more AI tools.
The Pennsylvania-based, nine-hospital health system was among more than a dozen health systems and hospitals that participated in the HealthLeaders AI in Clinical Care Mastermind program this year. In addition to holding several virtual discussions about AI tools in clinical care, participants met in person last month for roundtable discussions as part of the HealthLeaders CMO Exchange in Utah.
WellSpan Health has been generating positive results from AI tools in clinical care, according to Mark Kandrysawtz, MBA, senior vice president and chief innovation officer at the health system.
“We have experienced the impact of AI in clinical care, we feel confident that there is value in our AI solutions, we are expanding our AI solutions, and we are now setting new goals that will push us faster and farther to help transform the organization using AI,” Kandrysawtz says.
The new goals include using AI tools to increase the human capacity of care teams, Kandrysawtz explains.
One area where WellSpan Health plans to expand AI tools in clinical care is digital diagnostics.
“We are expanding our relationships with existing digital diagnostic partners,” Kandrysawtz says. “Over the past three years, we have been able to measure the impact of about a dozen AI solutions that we have in place for digital diagnostics. That has given us confidence to embrace new solutions more rapidly in the digital diagnostics space.”
WellSpan Health is also planning to adopt AI tools in new areas of clinical care.
“We are investigating AI tools such as clinical decision support to give real-time feedback to help clinicians make decisions,” Kandrysawtz says. “We also are investigating AI tools that can conduct chart summarization, which can reduce the burden of preparing for a clinical encounter. Years of clinical information can be summarized quickly using an AI tool.”
Evolution of AI governance
WellSpan Health has also streamlined AI governance.
“We are taking the approach of integrating AI governance directly into the quality and safety framework that we use as an institution,” Kandrysawtz says. “We track and monitor AI solutions in the same way we would track the operational output of our human team members. Instead of AI governance being a separate group, it is now part of how we manage innovation and transformation overall.”
“We believe there will be some new approaches to AI regulation on monitoring quality and safety as well as reporting on that efficacy,” Kandrysawtz says.
New state regulations that could impact AI governance at WellSpan Health include relying less on vendors for reporting on quality and safety for AI tools, according to Kandrysawtz.
“Many AI vendors are monitoring the safety and efficacy of their solutions, and they have built technological approaches to this monitoring such as supervisory AI tools,” Kandrysawtz says. “But we believe we are not going to be able to rely on the reporting of vendors. We will have to be able to audit and attest for the AI solutions we are using in the organization even if they are procured from a third party.”
Collaboration with AI tool vendors
“The number of AI vendors we collaborate with has increased over the past year, and we are bullish about AI vendor collaboration,” Kandrysawtz says. “We are focusing on the problems we want to solve and setting goals to solve those problems. We know AI is unlocking the ability to solve those problems at scale in a way that we could not achieve before.”
WellSpan Health has been intentional in building the competencies necessary to work with AI vendors.
Christopher Cheney is the CMO editor at HealthLeaders.