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.”
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