MethodCare Named the Winner of the Healthcare Financial Management Association’s 2012 Healthcare Reform Case Study Contest

MethodCare Named the Winner of the Healthcare Financial Management Association’s 2012 Healthcare Reform Case Study Contest

<0> MethodCare, Inc.Samantha Schaul, 773-510-9420 </0>

, Inc., a leading provider of healthcare predictive analytics software and services, is the winner of Healthcare Financial Management Association’s (HFMA) 2012 Healthcare Reform Case Study Contest. MethodCare’s received the most votes from HFMA members and industry peers to win the national contest, which was judged based on creativity of approach, magnitude of results, and impact on the hospital's mission and financial health.

MethodCare’s winning outlines how its customized, predictive analytic solution significantly increased efficiencies and cost saving opportunities in the revenue cycle for Presbyterian Healthcare Services, an eight-hospital system based in Albuquerque, N.M. Based on proven data mining technology, MethodCare’s suite of automated and optimized Presbyterian’s AR follow up, denial processing, payment variance, and reporting tools, resulting in:

“MethodCare’s helped us view and work our revenue cycle in ways we had been dreaming about for years,” said Dave Hennigan, Vice President, Revenue Cycle, Presbyterian Healthcare Services.

MethodCare’s also armed Presbyterian’s financial management team with real-time access to critical intelligence to support proactive decision-making and benchmarking.

" is honored to be recognized by HFMA and its peers, as well as excited to help hospitals and healthcare systems, like Presbyterian, quickly increase revenue and staff productivity,” said Jeff Kaplan, chief executive officer, , Inc. “ As an early-adopter of predictive analytics technology, Presbyterian now has greater efficiencies and data-driven intelligence necessary to operate and grow under healthcare reform.”

is the leader in predictive analytics software and services for hospitals. detects anomalies and extracts trends in patient billing and clinical data to identify lost revenue, improve cash flow, and increase patient safety. Its predictive analytics applies the science of advanced statistics and data mining through a hosted, Software-as-Service (SaaS) model to flag errant accounts and claims with a greater degree of accuracy and automate manual processes. For more information, visit .

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