The idea of whole-person care as critical to health equity initiatives was a significant theme at AHIP this year. During the conference, Healthcare IT Today met up with David Schweppe, Chief Analytics Officer at MedeAnalytics and former National Vice President, Customer Analytics and Reporting at Kaiser Permanente, to talk about the key role of analytics…

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Healthcare leaders increasingly realize the tremendous potential in artificial intelligence (AI) and analytics to deliver on the promise of high-quality care at a low cost. These innovations provide essential opportunities to empower executives, business leaders, clinicians and nurses with the power of predictive and prescriptive analytics to inform their decision-making. Many healthcare organizations are seeking…

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Our annual Impact Summit is a chance for leaders from our client organizations around the nation to join together to share their successes and gain guidance for the coming year. At our most recent Summit, our exceedingly impressive clients celebrated the wins that they’ve experienced through collaboration with MedeAnalytics. After each of the presentations, attendees…

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Our annual Impact Summit is a chance for leaders from our client organizations around the nation to join together to share their successes and gain guidance for the coming year. At our most recent Summit, our exceedingly impressive clients celebrated the wins that they’ve experienced through collaboration with MedeAnalytics. After each of the presentations, attendees…

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In this three-part series, we’ve been detailing a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl and Part Two: Walk, we discussed how to get started from scratch and start building out a dedicated data science program. Today, we’ll dive into the third and final phase to see how to grow quality, centralize governance, incorporate user feedback, and more.

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In this three-part series, we’re exploring a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl, we discussed how to get started from scratch. Today in Part Two: Walk, we’ll address issues that may emerge and how to overcome them, how to build out a dedicated data science team, and more.

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Throughout my career as a data scientist, I’ve been lucky enough to have a few opportunities to build data science teams, processes, and models from the ground up. Introducing data science into your organization can feel overwhelming, so I’ve put together some recommendations to help you along the way. While it’s incredibly tempting to jump…

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