2013-01-04 19:37:09 - "Profiting from Population Health Management: Applying Analytics in Accountable Care" identifies the challenges and opportunities of PHM programs and the benefits of analytics use in PHM.
SEA GIRT, NJ, USA, January 4, 2012 --- As ACA reforms continue to impact healthcare, population health management (PHM) is fast becoming the new buzzword for the management, integration and measurement of all interventions across the health continuum, from the healthiest populations to those with catastrophic illnesses. Rooted in the IHI's Triple Aim, PHM dives deep into health analytics to reduce risk and associated health spend and provide a strong foundation for accountable care in a value-based system.
"Profiting from Population Health Management: Applying Analytics in Accountable Care" provides both a primer in PHM, identifying the challenges and opportunities of a robust PHM program, and an advanced case study in the use of analytics in PHM.
Learn more about profiting from population
health management at www.hin.com/cgi-local/link/news/pl.cgi?2012phm
NEWS FACTS: In this 40-page resource, Patricia Curran, principal in Buck Consultants' National Clinical Practice, offers an overview of PHM, underscoring the importance of data analysis and risk stratification and the tangible results both can deliver in terms of improved outcomes and cost savings.
This report presents a PHM case study in which a data analytics framework greatly enhances care coordination. As part of its clinical transformation project, Bon Secours Health System has built a PHM platform, using custom builds in its EPIC electronic health record system to develop sophisticated reporting, patient registries and a predictive model to identify high-risk patients.
Robert Fortini, vice president, chief clinical officer at Bon Secours Health System, details the tools and protocols used by the health system's embedded Nurse Navigators that are dramatically impacting readmissions, ER visits and other key utilization and cost metrics.
Learn more about profiting from population health management at www.hin.com/cgi-local/link/news/pl.cgi?2012phm
Data Highlights: The details and case studies in this resource include:
-Key factors in achieving results from PHM initiatives;
-Data collection and risk stratification strategies to optimize PHM results;
-Communication strategies to engage consumers in PHM;
-Results from PHM programs;
-The types of registries Bon Secours uses to identify patients in need of care coordination;
-How Bon Secours has streamlined the documentation of patient interactions, including details on the training that the end users receive to efficiently use the system;
-Details on a predictive modeling tool that is embedded within the documentation system, including the formula used by the model to identify patients at-risk of readmission;
-Role of data analytics in a shared saving agreement between Bon Secours and Cigna;
-Results from programs, including the impact on all-cause readmissions, patient and physician satisfaction and physician visit volume and productivity;
-Answers to more than 20 FAQs on specific aspects of PHM;
and much more.
Target Audience: CEOs, medical directors, wellness professionals, disease management directors, physician practice leaders, business development and strategic planning directors and consultants.
Report Formats: Print, PDF or Print/PDF combination available at www.hin.com/cgi-local/link/news/pl.cgi?2012phm
QUOTE ATTRIBUTABLE TO MELANIE MATTHEWS, HIN EXECUTIVE VP AND COO:
"The data, strategies and tools in this resource will undoubtedly help organizations achieve strong results in a value-based healthcare system and improve population health management through efficient data analytics."
Please contact Patricia Donovan to arrange an interview or to obtain additional quotes.
About the Healthcare Intelligence Network --- HIN is the premier advisory service for executives seeking high-quality strategic information on the business of healthcare. For more information, contact the Healthcare Intelligence Network, PO Box 1442, Wall Township, NJ 07719-1442, (888) 446-3530, fax (732) 449-4463, e-mail email@example.com
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