Prediction of hospital length of stay

Abstract

Uncertainty in length of patient hospital stay is a major deterrent to effective scheduling for admission of elective patients. Various methods are presented for reducing this uncertainty, including use of diagnostic information, physicians' estimates, and nurses' discharge prediction. It is concluded that physicians' estimates prior to admission, revised by additional estimates after admission, are a useful tool for reducing the uncertainty in length of stay and permitting effective scheduling and manpower allocation.