Web Extras

  • Todd Norwood and Brian Spisak

    10 KPIs to Ensure Your Healthcare Data Is Ready for the AI Revolution

    Healthcare will experience unprecedented change in the age of AI. This shift promises to redefine patient care and operational efficiency, ushering in a new way of practicing medicine. However, AI’s potential will not be realized without access to high-quality data. To guide leaders on this crucial journey, we outline actionable steps for cultivating a data-driven, AI-ready culture of care, presenting 10 key performance indicators for extracting the value of health data. These KPIs encompass critical areas such as data literacy, data-informed decision-making, accessibility and security.

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  • The 2 Big Myths About Using AI in Healthcare

    Danielle Walsh, MD, FAAP, FACS, a professor of surgery and vice chair of Surgery for Quality and Process Improvement at the University of Kentucky College of Medicine in Lexington, believes there are two big myths about using AI in healthcare: that physicians don’t want AI and that patients don’t want AI.

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  • Building Belonging Across Generations

    With as many as five generations currently in the workforce, hospitals and healthcare systems, like all employers, can build a sense of belonging that takes into account all age groups

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  • Key Financial Principles for Healthcare CEOs

    A Q&A with Charmaine S. Rochester, DHA, FACHE, CPA

    It is essential that healthcare CEOs have a deep understanding of a broad range of topics, from the quality of clinical care to the competitive environment, and how those factors impact financial sustainability.

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