Make Your Programmatic Interventions More Successful
Payment Models Are Shifting
The healthcare sector is undergoing a fundamental transformation from paying for volume to paying for value. This is happening in fits and starts, but it will impact more than 80% of the value pools for health plans, providers and life sciences companies.
Behavior Change is Increasingly Critical
To succeed in this new environment, it is essential to find opportunities to influence member / patient / clinician behaviors in ways that lower total costs and improve care, for topics ranging from reducing ED utilization to improving post-acute care decisions to lowering readmission rates.
Most Players Miss A Key Dimension
Nearly all healthcare entities use advanced risk modeling to drive such efforts; however, very few incorporate analytical methods
to understand the likelihood of
individuals to respond favorably to given intervention methods. We call this 'Impactability'.
A New Healthcare Environment Means New Opportunities and New Challenges
Impactability Creates Incremental Value in Healthcare Engagement Programs
Risk Modeling
(i.e., who is most at risk of a negative health outcome or developing complications from a chronic condition)
Impactability Modeling
(i.e., who is most likely to respond favorably to a given engagement or diagnostic intervention)
+
= 2X - 4X
gains in program economic efficiency over programs using risk scoring alone
Curia’s cloud-based software optimizes engagement and diagnostic programs by influencing member / patient / practitioner behavior to improve quality and reduce cost of care.
We combine new methods of ‘impactability modeling’ with state-of-the-art risk modeling to generate significant economic and clinical benefits for our customers.
Health Plans
illustrative examples
-
Improve efforts to reduce excessive
ED use and avoidable hospitalizations
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Optimize adherence within
chronic care management programs
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Advance prediction and intervention for
members at high risk of unplanned dialysis
-
Identify and correct risk coding gaps
to improve RAF scoring accuracy
Health Systems
illustrative examples
-
Optimally allocate patient calling
efforts to reduce over-reliance on ED -
Optimize post-acute patient outreach to
reduce inappropriate early readmission
-
Drive ED attachment / retention programs
to capture appropriate full utilization
-
Optimize practitioner prompts for
maximized delivery and compliance
Life Sciences
illustrative examples
-
Improve practitioner and patient outreach to drive biosimilars pull-through
-
Optimize adherence communication to drive completion of course of treatment
-
Refine targeting for detailing digital outreach and other go-to-market investments
-
Engage patients more effectively to enroll in and complete clinical trials