Humedica’s Predictive Analytics Enable Timely, Effective Clinical Intervention to Improve Patient Care and Lower Cost
BOSTON--(BUSINESS WIRE)-- Humedica, the leading clinical analytics company, today announced the launch of a new predictive analytic model that will identify patients at high-risk for a Congestive Heart Failure (CHF) hospitalization. Designed to enable providers to identify high-risk CHF patients before they have been hospitalized, this tool can help reduce hospital admissions among the sickest, most costly patients in America.
Developed with clinical data pulled directly from the electronic medical record (EMR), the Humedica system is more accurate and more-timely than other predictive analytic tools that are based upon claims-based risk predictors.
“We are leveraging the power of millions of patient experiences in our data warehouse, and are providing highly predictive capabilities that identify CHF patients who would likely end up hospitalized without prior medical intervention,” said Dr. Paul Bleicher, Humedica’s Chief Medical Officer. “Humedica is empowering clinicians to target specific groups of high-risk CHF patients and intervene before their condition worsens.”
Mary Jane Hall, Chief Nursing Executive at the Community Physician Network in Indiana commented, “Adopting predictive analytics capabilities into our practices are a critical part of our clinical arsenal and a key ingredient in our ability to thrive in an Accountable Care reimbursement model. Clinically-powered tools that help us target certain patients with appropriate interventions to avoid sub-optimal outcomes before they occur enable us to take a bold step into the future of health care.” The Community Physician Network in Indiana, which is joined by other Humedica MinedShare® users in accessing the newly launched CHF predictive model, is in the process of rolling-out the tool throughout its organization.
CHF is the most costly and most preventable cause of inpatient admissions in the US, costing an estimated $35 billion/year. Heart failure affects nearly 5 million patients nationwide with 500,000 new cases diagnosed annually. Despite well-known and highly effective interventions, 40% of all Medicare patients with CHF are readmitted within 90 days.
“Predictive analytics powered by clinically-rich data is the future of health care and we are very excited to be on the leading edge of this innovation,” said Michael Weintraub, Humedica’s President and CEO. “As health care providers move squarely into risk-based population health management, they need cutting edge systems that will help them improve patient care and lower cost. As one of the most costly and most preventable outcomes, CHF hospitalization is a great place to start.”
Humedica is a next-generation clinical analytics company that provides novel software-as-a-service (SaaS)-based business intelligence solutions to the health care industry. Through cutting- edge analytics, Humedica connects patient information across varied medical settings and time periods to generate a truly longitudinal and comprehensive view of patient care. Humedica provides our partners and customers with the informatics solutions necessary to improve, manage, and succeed in today’s dynamic health care market. Humedica is defining knowledge in health care. For more information, visit www.humedica.com
Allen Kamer, 617-475-3810
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