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Use of Predictive Analytics in Health Care

By Claire Thayer, March 3, 2016

Healthcare payers and providers are increasingly looking for innovative strategies to leverage big data and use of predictive analytics across the organization to manage population health risks, identify claims trends, improve clinical outcomes, reduce costs, etc.  Management of all the data and integration of the systems built up over time is complex at best  - 72% of CIOs surveyed reported using more than 10 platforms or interfaces to extract data, while still relying on traditional sources: Clinical Data from EHRs (95%); Pre-adjudicated administrative, billing and financial data (91%), and post-adjudicated claims data (69%).   Given this, it’s not surprising that many payer organizations are now seriously looking to outsource their IT and analytics related projects - 93% of health plans responding to recent Black Book survey plan to do so by Q1 2017. 

These and issues pertaining to predictive analytics in health care was the focus of a recent MCOL infographoid, highlighted below:

MCOL’s weekly infoGraphoid is a benefit for MCOL Basic members and released each Wednesday as part of the MCOL Daily Factoid e-newsletter distribution service – find out more here.

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