HIMSSCast: How Intermountain is using AI to scale its value-based care efforts
HIMSSCast: How Intermountain is using AI to scale its value-based care efforts mike.miliard@medtechmedia.com; Twitter: @MikeMiliardHITN (Mike Miliard) Albert Marinez, chief analytics officer at Intermountain Healthcare, offers perspective on artificial intelligence for performance improvement: building effective models with "AI building blocks," getting buy-in from various stakeholders and more.
Albert Marinez, chief analytics officer at Intermountain Healthcare, offers perspective on artificial intelligence for performance improvement: building effective models with "AI building blocks," getting buy-in from various stakeholders and more.
As hospitals and health systems work to improve quality and reduce cost, their analytics and business intelligence capabilities are getting more advanced as artificial intelligence helps turbocharge their population health and value-based care efforts.
One organization at the leading edge of this trend – and gaining big clinical and operational ROI from its AI and machine learning investments – is Salt Lake City-based Intermountain Health. We spoke recently with Intermountain's Chief Analytics Officer Albert Marinez about how AI and automation are helping advance accountable care at the 33-hospital system.
Talking points:
- How Intermountain is driving value at scale.
- Where and how it's deploying AI-ML tools.
- How those tools are helping it measure performance improvement and movement toward value-based care goals.
- The most promising clinical, financial and operational AI use cases.
- How he selects which tools to invest in, sifting promise from hype.
- Tips for building and adjusting machine learning models.
- How to handle change management and get stakeholder buy-in.
- What Marinez considers key "AI building blocks."
- His advice for other health systems looking to try similar initiatives.