New predictive modeling technology could help hospitals improve care and lower costs by identifying high-risk congestive heart failure (CHF) patients before they are admitted.
Developed by healthcare informatics vendor Humedica, the technology pulls data from a patient's electronic health record, according to an announcement. "We are leveraging the power of millions of patient experiences in our data warehouse [to] identify CHF patients who would likely end up hospitalized without prior medical intervention," Humedica Chief Medical Officer Paul Bleicher said in a statement.
The technology currently is being deployed by the Indianapolis-based Community Physician Network.
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