A 2021 study from the Stanford School of Medicine found that although 80% of Americans say they would prefer to die at home, only 20% do. Medalogix Bridge supports patients’ wishes, using machine learning to identify patients earlier who are most likely to benefit from hospice. This leads to dramatic improvements in care quality and efficiency.
Our predictive model leverages EMR data to generate an ordered list of patients to be clinically evaluated for hospice appropriateness
Identifies patients on the home health census who are likely to pass away in the next 90 days
Provides workflow which allows clinicians to move patients through a customized virtual care path
Dashboards and reports that monitor utilization and patient outcomes
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Let the Data Do the Work: Bridging the Home Health to Hospice Continuum.