Health-system pharmacists generally know the value they bring in the form of medication reconciliation and education. However, what if there was a way to accurately identify those patients at increased risk for readmission due to medication errors and target them for a pharmacy-led intervention?
The 30-day readmission prediction models being used in many health systems—including LACE (an acronym describing length of stay, acute admission, Charlson Comorbidity Index score