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Taking Predictive Analytics in Healthcare From the Experimental to the Expected

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The promise of predictive analytics

Data. It’s everywhere, and healthcare organizations know it can be theoretically useful in the modeling of predictive patient outcomes. This sounds promising enough. But when we look beneath the surface, we learn that the industry as a whole has been relatively slow to adopt predictive analytics as a standard course of nonacademic care. In fact, just 34% of providers include it as part of their strategy.

This isn’t to say there aren’t plans for future applications. Providers recognize the potential for predictive analytics to improve outcomes and lower long-term costs. A Deloitte survey found that 84% of executives certainly see the benefits of predictive analytics in healthcare, as they say, it will play a role in their organization’s strategy over the next three years. So when will the role of data analytics in healthcare move from academic to more practical applications? And perhaps more importantly, what stops providers from taking action?

Read the full article by Marc Helberg on Electronic Health Reporter.

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By Marc Helberg
Managing Vice President
Marc serves as the Managing Vice President for Pariveda’s Philadelphia office. He is an energetic people developer and problem solver, focused on ensuring that the right size solution is brought to organizations enabling strategic progress.

At Pariveda, we address the imperatives of modern leaders, enabling them to sustain a resilient and impactful business

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