From developing robust platforms to driving workforce engagement, healthcare executives are gaining valuable first-hand experience navigating clinical AI implementation. Below, cross-functional leaders reveal their tips for successfully scaling AI into health systems.
Implementing AI effectively requires a strong foundation. Tim Calahan, Chief Technology Officer at Michigan Medicine, emphasized the importance of creating a “toolbox” with all the necessary resources for seamless integration. “If the tools are already in place, the pace of innovation accelerates,” Calahan explained. A well-equipped platform enables healthcare organizations to adopt and scale AI solutions more efficiently.
As AI becomes increasingly adopted across health systems, leaders must be prepared to understand and interpret its outputs. Sarah Kramer, MD, Clinical Associate Professor of Clinical Informatics at Reno School of Medicine, highlighted the growing need for data literacy: “Leaders of the future need to discern AI insights and reverse-engineer its recommendations to ensure alignment with clinical goals.” Developing these skills across disciplines is essential, particularly in fields such as radiology and cardiology where AI creates outputs on specific pathologies that will need to be verified by practicing physicians.
AI has the potential to revolutionize patient care, but its most immediate impact lies in empowering healthcare workers according to Jason Hill, MD, Clinical Innovation Officer at Ochsner Health. By reducing administrative burdens, automating repetitive tasks and streamlining workflows, AI allows providers to focus on what they do best – caring for patients. “Happier providers lead to better care,” he noted, underscoring the importance of improving the day-to-day experience with AI.
A clear strategy is vital for successful AI implementation. Organizations must align AI objectives with mission-critical priorities and assess readiness in terms of technology, data, workforce and partnerships. Sunil Dadlani, EVP and CIO at Atlantic Health System, stressed the importance of early engagement with healthcare professionals and patients to ensure solutions address real-world needs and concerns. “AI should fit seamlessly within the broader goals of the organization,” he explained.
Simplicity and transparency are key to driving AI adoption. Overly complex technology can overwhelm healthcare workers and hinder progress. “The workforce’s primary mission is patient care,” said Debbie Cancilla, EVP and CIO at Temple Health. “Keeping AI tools easy to understand and use ensures they add value without disrupting workflows.”
AI implementation is a collaborative and iterative process. Organizations must build governance structures, establish mechanisms to measure progress and remain open to continuous learning. Ami Bhatt, MD, FACC, Chief Innovation Officer at the American College of Cardiology, emphasized looking to younger generations for insights: “The next generation, who grew up with this technology, will take it to new heights.”
AI is reshaping healthcare, offering opportunities to improve patient outcomes, streamline workflows and empower providers. By focusing on strategic alignment, workforce engagement and simplicity, organizations can unlock the full potential of AI and set the stage for long-term success.
As Dr. Bhatt summarized, “This journey is about collaboration, governance and creating a foundation for future generations to thrive.”
Watch the full video below or browse more “Lessons From the Inside.” Have a question about AI implementation at your facility? Contact Aidoc to schedule a personalized clinical AI consultation.
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