HIMSSCast HIMSSCast: How health systems can find AI's opportunity and promise
Mar 28, 2025
Tom Kiesau, Chief Innovation Officer at Chartis, explores how AI can revolutionize healthcare in response to the aging population and financial pressures. He discusses advancements in operational AI for revenue cycles and supply chains, while noting challenges with clinical AI's complexity. Kiesau emphasizes the necessity for tailored governance frameworks to address data bias and regulatory compliance. He also advocates for health systems to move from pilot projects to large-scale AI implementation for greater efficiency and impact.
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AI's Transformative Potential
- AI can transform healthcare by addressing aging populations and financial pressures.
- It offers solutions for managing demand, increasing clinical capacity, and optimizing resource allocation.
Two Vectors of AI Deployment
- AI deployment has two main vectors: clinical and operational.
- Operational AI is advancing faster due to lower risks and clearer requirements, while clinical AI faces complexities like individual patient needs and ethical concerns.
AI Governance
- Health systems need a bespoke AI operating model, distinct from IT governance.
- This model must address unique AI challenges like drift, bias, hallucinations, and evolving regulatory landscapes.