More providers using analytics to reduce readmissions

The first time Kaiser Permanente Northwest launched an analytic tool to predict hospital readmission risk, the initiative flopped. The integrated health system wanted a tool that would identify high-risk patients before they were discharged so clinicians could arrange needed follow-up care to prevent complications. “We had been using a subjective assessment or the physician’s gestalt on whether they thought the patient was at low, medium or high risk for readmitting,” said Delilah Moore, PhD, pharmacy analytics manager. “We were looking for a more objective measure.” Kaiser rolled out the LACE model, a validated index that predicts 30-day readmission risk based on length of stay (L), acuity of admission (A), pre-existing comorbidities (C), and emergency department (E) visits. Patients’ LACE scores were shared via an Excel spreadsheet. But staff didn’t know…

Link to Full Article: More providers using analytics to reduce readmissions

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