predictive modeling

Three Ways Healthcare Organizations Can Improve Care ManagementHere are three strategies to navigate toward next-generation care management and increase member engagement in the process
Is end-of-life care the place for big data?The benefits and drawbacks of predictive modeling in end-of-life care decision making.
Predictive analytics reduces chemotherapy-associated hospitalizationsPatient risk can improve value-based cancer care. Find out how.
Apply consumer insights to drive high-value careThe hurdle for managed care organizations is not identifying individuals who may benefit from support, rather, it’s finding a way to tailor efforts to engage members in the solutions being offered.
Population Health Analytics: It’s the intervention that matters!The real value of population health management lies not in the data it generates but in the interventions it drives, according to Jay Rajda, MD., medical director of Aetna's Innovation Lab.
How analytics can help navigate the great data divideNow that the ACA has eliminated pre-existing conditions, payers have taken on many unknowns when evaluating the massive population of new members coming in from the state and federal exchanges.
Cigna uses predictive risk modeling to identify patients likely to benefit from aggressive LDL-C lowering statin treatmentIn a move that is intended to foster access to cholesterol-lowering therapy for patients who will best benefit, Cigna has entered into a first-of-its-kind contract with AstraZeneca to help ensure that patients are given an appropriate cholesterol-lowering medication based on their treatment needs.
Short fills save costs, reduce medication wasteTest patient response with initial 14 day fill
Small data creates backbone for medical homesMedical home providers gain tailored prescription data
Rate shock now less shockingThe 21 to 27 age group will see net costs increase $470, and that's the worst of it