APH will use MPIRICA Quality Scores as a benchmark metric for hospital and physician performance to help employers and health plans manage risk
Predictive analytics in healthcare can benefit organizations two-fold. This technology not only helps better manage a population but also better handle claims and save money.
Speaking of wellness programs, if analytics can predict and help employers better design their health plans, couldn’t the technology also be used to help prevent or put off more adverse and expensive health events
The new platform enables self-insured employers to predict health events, hospital admissions, length of stay and other incidents.
Poindexter’s newest release pushes the boundaries of predictive modeling by determining the likelihood of an occurrence of coronary events, neurological events, orthopedic events and chronic kidney disease. In addition, Poindexter now has the ability to predict hospital length of stay and general likelihood of an ER visit for any member of a patient population.
Third-party Administrators (TPAs) and brokers can leverage Poindexter’s new functionality to better identify at-risk individuals in their customers’ insured population. Employers with self-funded health plans can directly benefit, too.
Advanced Plan for Health (APH), a provider of data analytics technology to help organizations improve health benefits programs, today announced it is teaming with iHealth Labs, Inc., a provider of mobile healthcare monitoring solutions.