Health

HIMSSCast: Advice for smaller health systems starting with AI



There are all kinds of stories these days about giant health systems with big names, big development teams, and deep pockets that are innovating with artificial intelligence in healthcare. These are the players who are driving progress through this explosive technology.

But what about smaller hospitals and health systems that don’t have deep benches or deep pockets? How can they join the AI ​​team and achieve positive clinical and administrative outcomes?

On HIMSSCast this week, the topic is how smaller health systems can join the healthcare AI revolution and where they should start. Our client is well-versed in healthcare AI: Brent T. Hoard, partner at Troutman Pepper, a national law firm with more than 1,100 attorneys based in 23 US cities. It has depth across several industry sectors including healthcare.

Hoard offers more advice to smaller healthcare practitioners about the importance of AI and where to start the work.

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Communication skill:

  • When smaller health systems read about the hot healthcare AI market and hear about what their peers are doing and want to get involved, what is their first step?

  • Where is a good place for smaller health systems to go first? It seems that the prevailing wisdom is administrative before clinical.

  • What are some of the challenges smaller health systems face with AI?

  • How do these health systems overcome these challenges?

  • Who at these health systems needs to be involved when implementing AI? For example, obviously the IT department, but the C-Suite, legally?

More information about this episode:

AI can make maternal ultrasound more accessible, accurate, and effective

To achieve success with AI, health IT leaders must understand its recent developments

The potential impact of ChatGPT on preventive care and urgent care visits

AI can help providers achieve better outcomes in value-based care models

UC Irvine’s AI-powered conversational health agent is ready for developers

AI and ML can help providers manage staffing challenges during the adjustment cycle

Follow Bill’s HIT news on LinkedIn: Bill Siwicki
Email him: [email protected]
Healthcare IT News is a publication of HIMSS Media.

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