As healthcare organizations continue to take on more responsibility for outcomes as a result of the transition to value-based care, one of their greatest sources of risk is noncompliance.
Intervenability demonstrates how big data and analytics can be used to predict the likelihood that populations will comply with and complete the interventions assigned to or prescribed for them.
The analytics measure the willingness of individuals to become engaged in a program (such as patients actively following a plan of care) as well as their ability to do so.
Access Chapter 4 of SCIO’s Behavioral Analytics eBook today to learn more about the value of intervenability and how it can be applied across the spectrum of healthcare.
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