Predictive Model Released to Help Prevent Congestive Heart Failure Hospitalizations


January 13, 2012

January 12, 2012 — Clinical analytics company Humedica announced the launch of a predictive analytic model that identifies 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 timely than other predictive analytic tools 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 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 said, “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 healthcare.” The Community Physician Network in Indiana is joined by other Humedica MinedShare users in accessing the CHF predictive model, and is in the process of rolling out the tool throughout its organization.

CHF is the most expensive and preventable cause of inpatient admissions in the United States, costing an estimated $35 billion per year. Heart failure affects nearly 5 million patients nationwide with 500,000 new cases diagnosed annually.  Despite well-known and highly effective interventions, 40 percent of all Medicare patients with CHF are readmitted within 90 days.

For more information: