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Predicting and Prescribing Meaningful Interventions to Manage Rising Member Costs

Hear real-world accounts of challenges employers face with high-cost claimants (HiCCs) in employer-sponsored healthcare. Find out how machine learning-enabled analytics can help to predict HiCCs and what can be done to reduce the cost trajectories for impacted individuals.


Actionable Analytics for Employers

BHI and Midwest Business Group on Health discussed employers' key priorities for 2019 and highlighted how BHI's employer reporting solution informs decision makers through multi-dimensional analytics and impactful benchmarks.

Know Before You Go: Using Analytics to Maximize Risk Adjustment, Reimbursement and ROI

Medicare and ACA populations and providers are constantly in flux. Therefore, delivering accurate risk scores and impactful interventions for these programs requires intense time and attention. Without that focus, members’ health and BCBS Plans’ revenue are in jeopardy.

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Defining, Targeting, and Decreasing Low-Value Care

BHI's Alan Spiro, MD, and Maria Ferrera lead a discussion around how low-cost, low-value care services are driving an increase in unnecessary care costs, and why targeting low-value care services represents a significant savings opportunity for payers.
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Collecting and Using hidden data on quality: lessons from BHI, Horizon and i3pi

Today, health plans are sharing a greater portion of risk and savings with providers. Now, it's imperative that patients are effectively evaluated and treated to prevent both readmissions and avoidable emergency department (ED) visits. 

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