Health plans have an opportunity to emerge as true innovators—enablers of leveraging data, data science and intelligent automation to efficiently inform and engage health care stakeholders on member health. But health plan innovation continues to be hampered by the inability to predict and act on information using real-time data and automated decision making.

To enable digital transformation and make a significant impact on care outcomes, payers must adopt technology that brings together siloed data sources to develop holistic member views. Real-time predictive modeling and automated intelligence then work together to convert holistic patient profiles into microtargeted cohorts that payer teams can engage with instantly. With these sources available at the ready, health plans can uncover actionable insights that positively impact member health and increase collaboration with internal and external stakeholders. 

In this presentation, participants will learn how Vital Data Technology helped a large national health plan engage more members at the highest risk levels with its CareFlow Rules™ Engine, and intelligently automate interventions across departments for increased efficiency and engagement.