Tuesday 8 November 2016

4 tips for hospitals implementing population health analytics

Hospitals are increasingly focused on leveraging predictive analytics to streamline their services — but how many organizations have successfully met this goal?

Since 2014, Buffalo Grove, Ill.-based research and consulting organization Healthcare Center of Excellence has been tracking how the healthcare industry uses data analytics. J. Bryan Bennett, founder and executive director of HCOE, spoke with Becker’s Hospital Review about the results of the organization’s third annual State of Population Health Analytics report, which integrated interviews with healthcare executives, survey responses from hospital employees and findings from recent research on health IT. Here’s what he had to share:

1. Health IT is a spectrum, from EHRs to decision support. The State of Population Health Analytics report evaluates hospitals’ evolving use of health IT
based on a model developed by Mr. Bennett, called the “healthcare transformation change model.”

The model predicts a technology continuum from non-analytic to analytic-focused, with the implementation of complex, analytical decision support services as the ultimate goal.

The suggested timeline begins with descriptive technology (characterized by EHR implementation), and moves through phases of diagnostic technology (characterized by integration of data sources), predictive technology (characterized by analysis and modeling) and prescriptive technology (characterized by real-time decision support). For the full article click here 



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