Health Evolution Fellows outline why addressing bias in data is critical and seek input on a Trust Framework for using data responsibly.
Health Evolution Fellows discuss the critical elements of scaling emerging technologies across the care continuum and into new care settings.
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Drouin discusses the company’s origin story, the accomplishments he’s most proud of as CEO and serving as a Switzerland between health plans, health systems and life sciences organizations.
Health Evolution Fellows discussed ways that CEOs can lead the transition to focus on cost, quality and experience of care as well as barriers to overcome.
Executives supporting the Health Equity Pledge virtually convened to share experiences and learnings in addressing maternal health disparities through a data-driven lens.
Health Evolution Fellows share their perspectives on bringing care to people experiencing homelessness, using housing to improve community health and the critical elements for integrating behavioral health and social determinants into primary care.
At the 2022 Health Evolution Summit, CEOs shared lessons learned from sustainability work and pandemic response that can be applied to the climate and equity crises as well.
CEOs discuss how primary care is changing, potential winners and losers, cross-industry advice they have for each other, and more.
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At the 2022 Health Evolution Summit, executives discussed tactics leaders can use to leverage growing demand for digital health to improve both experience and outcomes for patients.
As health care industry leaders look to the next phase of value-based care, success will require payers working with CMS and each other as well as providers becoming more involved in the journey.
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The new Health Evolution Connect takes place in Nashville, Tennessee September 14-16, 2022 with a focus on helping health care executives achieve their transformation goals.
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CEOs can begin by embracing new regulations, identifying necessary technologies, and managing culture change.
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Female CEOs on Leadership, Transformation, and the Path Forward for Parity
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How whole-person virtual care will transform the health care experience.
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Machine learning algorithms are powerful because they can process far more data than the human brain can consume; but sometimes, algorithms can make a mistake. Learn how a concept developed by Henry Ford for the assembly line can be used to improve machine learning in health care.