title: Predicting discharge diagnoses using a computerized preadmission screening tool.
abstract: The authors integrated into an existing hospital information system a preadmission screening system, intended to reduce payment denials and reimbursement shortfalls that result from improperly classifying the billing status of patients. They report the results of efforts to validate the expert system upon which the preadmission screening system is based.
authors.affiliation: Department of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City 84143.
authors.forename: J W
authors.initials: JW
authors.lastname: Hales
authors.forename: R M
authors.initials: RM
authors.lastname: Gardner
mesh_terms: D003953:Diagnosis-Related Groups; D004194:Disease / Q000145:classification*; D005103:Expert Systems; D005544:Forecasting; D006751:Hospital Information Systems / Q000706:statistics & numerical data*; D006801:Humans; D010343:Patient Admission; D010351:Patient Discharge / Q000706:statistics & numerical data*; D010865:Pilot Projects; D012051:Reimbursement Mechanisms / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D012189:Retrospective Studies; D014600:Utilization Review