At the HIMSS AI in Healthcare Forum earlier this month, more than 400 senior clinical, operational and information technology leaders from healthcare organizations of all shapes and sizes gathered in Brooklyn, New York, for two days of energetic discussion.
The presentations, panel chats and networking breaks were all buzzing about the promise and potential – and the plenty of not-insignificant hurdles along the way – of deploying artificial intelligence and machine learning to help solve myriad health system challenges.
Attendees were talking about big-picture imperatives like C-suite leadership and strategy and workforce training and trust, and also more fundamental needs, such as data governance, algorithmic transparency, workflow integration, change management, IT infrastructure, resource allocation, cybersecurity, patient safety and more.
After a busy few years of pursuing AI projects and goals in earnest, healthcare leaders are still learning as they go and trying to keep pace as the technology evolves and its applications expand.
To talk about those trends and others, we took some time at the show to speak with the forum's emcee, our colleague Rob Havasy, senior director of informatics strategy at HIMSS, about the trends, opportunities and challenges of AI in healthcare in 2025. Here's what he had to say.
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Talking points:
- Data governance challenges
- C-suite leadership
- Building an AI-enabled workforce culture
- The potential for state and federal AI regulation
- Trends to watch for in the months and year ahead
- And much more
More about this episode:
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AI-enabled workforce is essential for achieving IT investment ROI
With AI, 'the only way to build trust is to earn trust'
At NYU, new research into AI-enabled patient engagement
What makes for a good health AI investment? One VC has some thoughts
Implementing agentic AI in healthcare requires caution
Building an in-house AI tool from scratch
The role of AI in digital health
