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.
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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.
More about this episode:
Harnessing artificial intelligence’s power is paramount, says Intermountain exec
Intermountain launches new AI center to guide ethical deployments and prevent care disparities
HIMSSCast: Mayo perspective on ‘challenges, opportunities and promise’ of AI in healthcare
Healthcare must control the ‘whether, when and how’ of AI development and deployment
EHR vendors demo new GPT features at HIMSS23
Generative AI growing big in the year ahead, physician expert says
Mike Miliard is executive editor of Healthcare IT News
Email the writer: [email protected]
Healthcare IT News is a HIMSS publication.
Source : Healthcare IT News