Overcoming 3 healthcare data analytics challenges with intelligent analysis

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In a recent Hayes Management Consulting blog, Robert Freedman reviews how to overcome challenges in healthcare data analytics with intelligent analysis.

A recent article in the HealthIT Analytics newsletter noted that most healthcare organizations are looking to launch Big Data analytics projects to “improve clinical quality and reduce inefficiencies.”[1] That’s only natural considering the buzz surrounding the benefits of Big Data analytics.

However, the article goes on to say that many healthcare organizations face major challenges in ramping up their analytics program - specifically lack of qualified talent, issues with system interoperability and the basic question of where to begin the process.

There’s no doubt that Big Data analytics initiatives have proven valuable in uncovering actionable information in nearly every industry. That can also happen in healthcare, but hospitals and physician groups should understand that massive Big Data projects are not the only route to gaining the critical knowledge you need to improve the operation of your organization. You can also obtain significant insights from “little data” information that is readily available if you use the right tool.

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