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There are 3 item(s) tagged with the keyword "Rx".

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Combating Opioid Addiction with Analytics and Case Management

The current opioid epidemic has shed light on the shortcomings of many wellness programs and the lack of preparedness by case management teams to handle chronic conditions and or patient behavior, such as addictive tendencies or duplicate therapy. But are case management teams solely to blame for lack of effective response to this costly health crisis? The simple answer is, no.

Many case managers do not have access to the data or tools required to employ a compelling and value-driven prevention model. Hence, what we see today is very little accountability or effective case management. What’s needed most is quality data to guide active engagement with patients.

Tags: Opioid, Addiction, Data, Big Data, Predictive Analytics, Account Management, Health Plan, Insurers, Healthcare, Brokers, Payers, Third Party Administrators, TPA, Epidemic, Case Management, Care Management, Care Manager, Wellness Program, Group Benefits, High Cost Claimants, Costs, Chronic Conditions, Behavior, Duplicate Therapy, Rx, Patients, Advanced Plan for Health, Actionable Insight, Health Intelligence, Poindexter, Self-Insured, Health Plan Sponsors, Catastrophic Medical Events, Drug Costs, ER Utilization
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
Questions for the Self-Insured Employers to Consider When Selecting a Benefits Broker

For self-insured employers, selecting a broker is without a doubt one of the most important parts of designing a health benefits plan. It’s important to select a broker who understands the nuances of plan design and who can quickly adapt to the rapidly shifting health coverage and policy landscape. Employers need an ombudsman, a consultant with the know-how, resources and technological tools, including predictive analytics, to expertly navigate and take advantage of the current healthcare system. 

Tags: Self-Insured, Employers, Health Insurance, Brokers, Consultants, Benefits Manager, Population Health Management, Health Benefits, Health Savings, Plan Design, Affordable Care Act, ACA, Healthcare Costs, Predictive Analytics, Healthcare System, Employee Health Insurance Costs, Data Analysis, Data Transparency, Improve Health, Population Health, Medications, Rx

Displaying: 1 - 3 of 3