There are 3 item(s) tagged with the keyword "Trends".
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- The Self-Insured Employer: By The Numbers
The further we venture into our modern healthcare system, it becomes more apparent that the self-insured employer understands their potential to slash healthcare costs by creating and effectively implementing custom population health management programs. This is not so surprising of a trend, considering that health policy architects designed the Affordable Care Act and quality-based reimbursement initiatives to stem rising healthcare costs through population health management, as we reported in our ebook, "The New Broker."
- How The New Broker Can Take The Lead With Predictive Modeling
Data analytics is the current and most effective means to achieving population health management, but let’s face it: To many employers, population health management is merely a health-benefits catchphrase, an empty expression that represents a goal but lacks the means to achieve it. However, in the right hands, data analysis is much more than that. Data analysis gives brokers the edge to fulfill population health management goals by providing common-sense human interactions to take action on the steps identified for plan performance.
- Poindexter Predictive Modeling Engine
Poindexter, our data analytics risk engine custom-built for population health management. This tool provides dynamic, reliable insight into your population. With Poindexter you have access to essential insights in just a few simple clicks, whether you are at the strategic, provider or clinical user level. With Poindexter, you have the guidance to work smarter and stay focused without losing the “big picture” perspective. Macro trends can be detailed and compared over time with the ability to drill to specific drivers in minutes—all at your fingertips; no need to wait for answers you need today to stay on track.
Poindexter enables revolutionary predictive modeling by looking at the whole individual, as well as group trends, by examining hard data in a practical format and factoring in the impact of rapid changes in healthcare. The result is the ability to predict conditions, trends, gaps in care, admissions and re-admissions- six to 12 months in advance. This analysis of individuals within a population ultimately identifies opportunities and risks; key information in the creation of APH's customized action plans.
Displaying: 1 - 3 of 3