Articles
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…
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A key to success for any organization is finding a way to unite departments and individuals around common objectives and a shared strategic plan. For large health systems that employ thousands and have…
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By this point, we’ve all heard the statistic that healthcare data is growing at 36% annually. The result of this growth is that we’re all swimming in charts that, unfortunately, often lack a…
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A unique requirement of running a successful health plan is staying current on the needs, trends and metrics of employers in vastly different industries. Though homegrown reporting solutions can be effective for a…
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Physicians are constantly balancing numerous priorities and being pulled in various directions. Though performance growth and clinical documentation improvement are highly beneficial for patients in the long run, it’s difficult to engage already-stressed…
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The Challenge This health plan had quickly expanded to over 15 million members in five states. As a result, the legacy reporting solution its 4,000 users had relied on was not able to…
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As value-based payments continue to grow, provider organizations and health plans are relying more and more on predictive modeling of risk scores and quality outcome measures as a driver of financial performance. To…
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A significant amount of waste and financial loss within healthcare organizations can be attributed to inefficiencies within daily processes and programs. Realizing room for increased productivity within their revenue cycle management, University of Florida (UF) Health partnered with MedeAnalytics to catalyze change. …
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