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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Quick takeaways
- AI has the potential to alleviate pressures on the healthcare system caused by the aging population by enhancing resource allocation and consumer engagement.
- Establishing tailored governance frameworks for AI initiatives is crucial to address unique challenges like model drift and biases in healthcare settings.
Deep dives
AI's Role in Addressing Healthcare Demand and Supply Challenges
The aging population in the U.S. is poised to increase demand for healthcare services significantly, leading to a potential shortage of clinical capacity as fewer clinicians enter the field. This rising demand coupled with dwindling supply creates a challenging environment for healthcare delivery. Artificial intelligence (AI) could play a crucial role in managing and proactively addressing this demand by engaging consumers more effectively and optimizing resource allocation. As AI systems evolve, they can help healthcare providers offer better care while addressing the financial pressures on the sector.
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