Whitepapers: Making Sense of Big Data

Making Sense of Big Data: Using Data Analytics to Drive Population Health

 

As healthcare organizations — including health systems, accountable care organizations and large medical groups — prepare for population health management, one of the biggest challenges facing them will be where to start and what initiatives will have the most impact. Luckily for these organizations, the answers to these questions already exist within their electronic health record and other data systems. However, many organizations lack the ability to make sense of this unstructured data. Two whitepapers presented by IBM — "Leveraging Smart Technology to Deliver the Future of Healthcare" and "Unlocking the Power of Unstructured Data" — discuss how healthcare organizations can use data mining to inform decision-making around strategies for improving population health.

 

Leveraging Smart Technology to Deliver the Future of Healthcare

This whitepaper by Frost & Sullivan discusses using analytics to deliver impactful care management and care coordination programs within population health management efforts. Specifically, the paper outlines how advanced health IT software enables healthcare providers to prioritize cases, identify trends and patterns and predict outcomes to guide decision-making and better coordinate strategic patient interventions.

 

Unlocking the Power of Unstructured Data

This whitepaper by IDC Insights, sponsored by IBM, discusses the value of unstructured data made available by electronic health records and how textual and predictive analytics tools can be used to uncover which patients are in need of interventions, which interventions are associated with the best outcomes and many other insights to improve individual care and population health. The whitepaper also includes a case study on how Seton Health used IBM's Watson technology to identify predictors of congestive heart failure readmissions and then target interventions toward patients with the predictive characteristics.

 

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