For more than a decade, UNC Health has been engaged in a concerted effort to get its arms around its troves of clinical, financial and operational data, and harness it toward higher-quality and more efficient care delivery.
In this first episode of a three-week series of HIMSSCast, we spoke to UNC Health’s System Director For Analytical Solutions Greg Kuhnen, asking him first about some of the basic table stakes for effective data governance. One of his first pieces of advice? Don’t call it data governance.
Kuhnen describes the people, process and technology must-haves needed to make an effective analytics program that scales enterprise-wide. And he explained how UNC’s years of work with HIMSS Analytics – first with its Adoption Model for Analytics Maturity, and more recently with the updated, outcomes-focused Analytics Maturity Assessment Model – has helped the health system on that journey.
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Talking points:
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“Data governance,” and how UNC Health defines it (or doesn’t)
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Why data management and analytics are important, and how to make them work
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What IT systems and leadership roles are most important
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How a hybrid model – both centralized and decentralized – helps for specific use cases
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How new data management policies are developed and promulgated across the enterprise
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Advice for health systems seeking to get a better handle on their data
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How various HIMSS Analytics adoption models can be a key enabler
More about this episode:
UNC Health Care shares how it reached peak analytics maturity
UNC Health reaches Stage 7 with advanced EMR, analytics capabilities
UNC Health’s CIO talks generative AI work with Epic and Microsoft
Responsible AI governance is needed now, says UNC Health chief analytics officer
Creating a path for sustainable AI governance
At HIMSS24 APAC, the Adoption Model for Analytics Maturity gets facelift
New HIMSS Analytics Maturity Assessment Model supports smart AI deployments
Mike Miliard is executive editor of Healthcare IT News
Email the writer: mike.miliard@himssmedia.com
Healthcare IT News is a HIMSS publication.