There are plenty of stories floating around right now about huge healthcare systems with large names, enormous software teams, and deep pockets bringing AI innovations to healthcare. They are driving progress with this explosive technology.
But what about smaller hospitals and health systems that don’t have deep benches or deep pockets? How can they leverage AI resources and achieve positive administrative and clinical outcomes?
This week’s HIMSCast topic is how smaller healthcare systems can join the healthcare AI revolution and where they should start. Our guest is well-versed in artificial intelligence in healthcare: Brent T. Hoard, partner at Troutman Pepper, a national law firm with over 1,100 attorneys located in 23 U.S. cities. It has depth in several industry sectors, including healthcare.
Hoard offers plenty of advice to smaller healthcare players on the importance of AI and how to get started.
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Discussion topics:
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As smaller healthcare systems read about the scorching healthcare AI market and learn about what their peers are doing and looking to get into, what should their first steps be?
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What areas are worth working on first for smaller healthcare systems? Administrative rather than clinical wisdom seems to dominate.
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What challenges do smaller healthcare systems face with artificial intelligence?
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How do health systems deal with these challenges?
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Who in these healthcare systems needs to be involved in implementing AI? For example, of course the IT department, but management, legal?
More about this episode:
Artificial intelligence could make maternal ultrasound more accessible, correct and competent
To succeed with AI, healthcare IT leaders must understand its latest evolution
Potential impact of ChatGPT on preventive care and emergency visits
Artificial intelligence can support providers achieve better outcomes in value-based care models
UC Irvine’s AI-powered conversational health agent is ready for developers
Artificial intelligence and machine learning can support providers navigate the staffing challenges associated with the change cycle