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.
Advanced Plan for Health, LLC, a provider of data analytics technology to help organizations improve health benefits programs, today announced it is teaming with Tesser Health, a digital health company that offers WeRx, a prescription management tool designed to help self-insured employers and employees save money on prescription drug costs.
Visit page 40: Self-insured employers know what they are doing. Financially speaking, it makes a lot of sense to self-insure; it typically improves cash flow, saves money on interest and taxes and helps keep employees happy with smaller deductibles and monthly fees. But, what if there isn’t any savings?
Advanced Plan for Health today announced the introduction of Poindexter, a predictive analytics risk engine custom built for population health management needs.
The process of obtaining the information you need is faster with easy to use, point and click technology that does the work for you. Poindexter produces more dynamic, reliable insight into your population. He takes real world factors (like behavior) into account when determining risk, not just a small sampling of members by diagnoses and cost. With Poindexter, you can drill-down to actionable insights in a matter of clicks.