There are 4 item(s) tagged with the keyword "Compliance".
Displaying: 1 - 4 of 4
- I Am! Nurse Advocacy
I Am! Clinical Advocacy
The Advanced Plan for Health I Am! clinical advocacy solution transforms actionable insight into targeted action. We provide advanced and proven longitudinal analytics through our Poindexter platform and combine them with our proven I Am! nurse advocates, resulting in improved impact on the health and well-being of those who need it most.
- Elements of Top-Notch Data Analytics Risk Engine
In today’s healthcare world, benefits brokers are primed to gain a competitive edge through harnessing the power of big data analytics. With the right analytics engine, brokers can streamline risk analysis to provide their clients with key insights – at micro and macro levels – that shed light on crucial aspects of their member population and generate actionable results (1 Year $1 Million Saved: CEBG). The next major step in healthcare technology is here and ready to assist in the effort to improve population health.
- Chris E. Rossman - Foley & Lardner LLP.
Chris E. Rossman is a partner and healthcare lawyer with Foley & Lardner LLP. He has represented healthcare clients exclusively throughout his career and has experience in all areas of healthcare law, with a concentration of experience in the M&A, transactions, reimbursement and payment, and compliance areas.
- 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 - 4 of 4