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There are 2 item(s) tagged with the keyword "Health Insurance Brokers".

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Targeting Doctor Shopping, Prescription Abuse With Analytics: Population Health Lessons from the Front Lines

In recent years insurers and brokers have had to adapt to rising healthcare costs without much say in the matter. This is in part because brokers and employee benefit managers often have too much on their plates to sleuth out and address the costliest “blind spots” in health coverage. This has left many struggling to find a way to remain competitive in an increasingly technology-driven industry.

Tags: Doctor Shopping, Prescription Abuse, Population Health, Healthcare, Data, Data Analysis, Health Insurers, Benefits Design, Population Health Management, Member Population, PHM, Health Events, Cut Costs, Health Events, Prevention, Brokers, Employee Benefit Managers, Health Insurance Brokers, Predictive Analytics, Actionable Insight, Health Plan, Health Plan Member, Doctors, Duplicate Therapy, Poindexter, Predictive Modeling, Healthcare Costs, Self-Insured, Employer, Pharmacy, Rx, Data Analytics, RFP, Network, Data Reports, Lab Costs, Technology, Chronic Pain, High Cost Claimants, Addiction, Opioid, Cost Centers, Behavior, Behavioral Analytics, Phenotyping
Advanced Plan for Health Upgrades Next-Generation Predictive Analytics On Poindexter Population Health Management Platform

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.

Tags: Predictive Modeling, Population Health Management, Self-Insured, Employers, Health, Data Science, Actionable Data, Coronary Events, Neurological Events, Third Party Administrators, TPA, Health Insurance Brokers

Displaying: 1 - 2 of 2