Artificial Intelligence
HIMSS25: The Building Blocks of Healthcare AI Success
Many healthcare organizations have already implemented artificial intelligence tools, while others are considering which AI use cases will bring the greatest ROI. However, rather than rushing into AI adoption, healthcare IT leaders should first ensure that foundational technologies and policies are in place.
At HIMSS25 in Las Vegas, HealthTech spoke with IT leaders about how healthcare organizations can be better prepared for AI implementation through change management, data governance and cloud infrastructure.
DISCOVER: Taking advantage of data and artificial intelligence can improve healthcare outcomes.
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Participants
Brenton Hill, Head of Operations and General Counsel, Coalition for Health AI
Dr. Eric Poon, Chief Health Information Officer, Duke Health
Lee Pierce, Healthcare Strategist, CDW
Video Highlights
- Healthcare organizations should be prepared to monitor an AI solution throughout its lifecycle for performance, drift and degradation.
- Computing power, infrastructure capabilities and data storage are all foundational technologies that healthcare organizations should consider before implementing AI solutions.
- With many AI tools in the market, it’s important for healthcare organizations to embrace a “fail fast” mentality and be willing to let solutions go if they don’t meet their needs.
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