PwC Study: Data Analytics Critical for Advancing Social Determinants of Health Efforts for Payers - IMAT Solutions
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17 Oct PwC Study: Data Analytics Critical for Advancing Social Determinants of Health Efforts for Payers

A recent study by the PwC Health Research Institute is urging healthcare stakeholders to “act now” when it comes to addressing social determinants of health (SDOH).

The report highlights how investing earlier in social determinants strategies that help people with housing, exercise, mental health support and ability to afford medications, will help governments and health systems save money in the long-term and improve health outcomes.

To bring these efforts to life, PwC is calling on payers to leverage data and analytics to make informed population health decisions, and predictions about what healthcare services these patients may need in the future considering their overall medical history.

In addition, the study pointed to the need to measure and redeploy certain population health programs. For example, a diabetes dashboard can measure which interventions work and track overall trends in costs.

As access to clinical data from across the continuum of care becomes more critical for health payers as they launch SDOH efforts, developing strategies for creating trusted data that can drive actionable insights and enhance operational efficiency is now more critical than ever.

IMAT Solutions’ robust data management platform helps payers to better align claims and clinical systems to inform and drive new SDOH and population health initiatives, as well as help to measure the outcomes of these efforts.

Leveraging Natural Language Processing (NLP), IMAT customers have been able to identify SDOH indicators that already exist within their data to better identify those at risk. From Provider Dashboards to Business Intelligence tools to longitudinal patient charts, IMAT’s Health Data Analytic capabilities can transform population health and risk management for payers.

To learn more about how payers can best harness their data for improved analytics, interoperability and outcomes, please click here.

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