Health systems’ AI champions — the people who develop novel uses for the technology and sell their peers on its value — don’t always come from the C-suite, or even the IT department.
These are the employees you never would have guessed would be leading the charge on AI. These advocates often include the bedside clinicians who are actually using the technology, such as nurses.
Becker’s asked technology executives who the unexpected AI evangelists are at their health systems. Here are their responses:
Bob Carter, MD. CEO of University of Utah Health (Salt Lake City). Even though he has been here just over 16 months, he has quickly advanced artificial intelligence across our academic health system. What makes Dr. Carter one of the most influential leaders in healthcare AI is his ability to see beyond the technology itself and focus on how it can meaningfully improve patient care, research, education, and operational performance. He has consistently challenged our leadership team to think strategically about AI as an institutional capability and competitive advantage rather than a collection of individual projects.
Dr. Carter was also instrumental in establishing the Technology and Innovation Strategy Group, where he remains an active participant in guiding innovation priorities and investments. Combined with the work of our Digital Enablement Committee, these governance structures have provided the alignment, accountability, and executive sponsorship necessary to move AI from experimentation to enterprise-scale adoption. His leadership has helped unite clinicians, researchers, operational leaders, and technology teams around a shared vision, positioning University of Utah Health as a national leader in the responsible and practical application of artificial intelligence. — Donna Roach, chief digital and information officer
Nicholas DeStefano, RN, Senior Nurse Manager of the Operating Room at AdventHealth Celebration (Kissimmee, Fla.): Nick is not a technologist or data scientist. He is a nurse leader whose career has been rooted in supporting patients and front-line teams, which is what makes his work with AI so remarkable.
Over the past several months, Nick has built what he describes as an AI foundation for his operating room, using AI to create operational briefings that help predict scheduling bottlenecks, summarize meeting discussions, and support staffing and throughput decisions.
What stands out most is Nick’s purpose behind his approach to technology. Nick is focused on reducing administrative and cognitive burden for surgical teams so they can spend more time focused on safe, efficient, patient-centered care.
Nick’s story is one example of how meaningful AI innovations can come from caregivers closest to the work. They understand the daily challenges facing teams and patients, and they’re using AI thoughtfully to create more time for human connection, clinical focus, and compassionate care. — Rob Purinton, chief AI officer of Altamonte Springs, Fla.-based AdventHealth
Lindsey Hamlin. IT Portfolio Manager at Denver Health. She is a great example of how perspectives on AI can evolve. She started out very skeptical of AI, but gave herself the space to learn and explore — and now she’s a true believer in the value AI can add. Today, she uses AI across her personal life and her Project Management Office work — from deep research, project charters, RACI [Responsible, Accountable, Consulted and Informed] documents, meeting notes, and employee reviews. She’s also taken it a step further by guiding her team through common scenarios and helping them build confidence with AI prompting.
It’s inspiring to see her go beyond adopting AI to truly championing it, enthusiastically sharing her wins with others. — James Levay, IT AI program manager
LeeAnn Jackson, BSN, RN. Assistant Nurse Manager at Cedars-Sinai Emergency Department (Los Angeles). As a front-line emergency department nurse leader, Ms. Jackson uses AI as a force multiplier to improve operations, reduce administrative burden, and support better patient care. She utilizes a range of AI applications for tasks like creating executive summaries, meeting minutes, and action items from leadership meetings. She also uses digital tools to analyze emergency department operational data to build executive dashboards highlighting throughput, patient flow, boarding, length of stay, and quality metrics, and assisting in workflow redesign initiatives, including front-end patient flow, discharge planning, staffing optimization and quality improvement projects.
As a student in the Cedars-Sinai Health Sciences University, Ms. Jackson concentrated on applied artificial intelligence, digital health, health informatics, data analytics, and performance improvement. Throughout the program, she focused on translating AI from theory into practical solutions that improve clinical operations, workflow efficiency, quality, and patient care.
By automating administrative work and accelerating analysis, AI allows clinicians and leaders like Ms. Jackson to spend more time focusing on patients, staff and meaningful operational improvements. — Mouneer Odeh, chief data and AI officer of Cedars Sinai
Vickee Sevillano, BSN, RN. Wound, Ostomy and Continence Nurse at Mount Sinai Health System (New York City). She came to us with a problem she dealt with every day: spotting earlier which patients were most likely to develop a hospital-acquired pressure injury. We paired her with our AI products team, built a tool around this concept, and it’s now used across several Mount Sinai hospitals.
Vickee’s story is also why we built a way for anyone in the organization to bring us ideas like this, not just the people you’d expect. That’s turned out to be one of the key ingredients in our AI program. The people closest to the work usually see the most useful applications; we just don’t always think to bring them into the room. When we do, the solutions are better, and the team members feel real ownership in what gets built. — Robbie Freeman, DNP, RN, chief digital transformation officer
https://www.beckershospitalreview.com/healthcare-information-technology/ai/5-unlikely-ai-champions-at-health-systems/