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Predicting 30-Day Readmissions for Cedars-Sinai Patients Far More Accurately Than LACE Alone

Predicting 30-Day Readmissions for Cedars-Sinai Patients Far More Accurately Than LACE Alone

Frame Health predicted patient readmission far more accurately than LACE alone, independent of clinical condition.
Cedars-Sinai Medical Center
Saperstein Critical Care Tower

Cedars-Sinai Medical Center is a non-profit, tertiary 958-bed hospital and multi-specialty academic health science center in Los Angeles with over 2,000 physicians and 10,000 employees.

Cedars-Sinai conducted a study to understand how Frame Health Survey data could improve upon LACE, the most commonly used tool for predicting readmission rates. LACE alone does not consider post-discharge patient behavior—a key factor in readmission—or provide effective interventional guidance to clinicians.

Download this case study to learn how Frame Health: