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The Utility of Hospital Administrative Data for Generating a Screening Program to Predict Adverse Outcomes

Department of Medicine, Loyola University Medical Center, Maywood, Ill, Veterans Integrated Service Network 12, Hines, Ill

Frank A. Piontek, MA

Holy Cross Health System Corporation, South Bend, Ill.

Rajiv Kohli, PhD

Holy Cross Health System Corporation, South Bend, Ill.

A system to predict which patients will suffer medical complications or poor financial outcomes during a hospitalization would be very useful to providers of medical care. To develop such a system, we applied two previously developed indices that predict in-hospital complications to all 321,558 adult patients discharged from our hospital network. The indices identified 26,377 patients (8.2%) who experienced one or more medical complications. For these patients, high-risk admitting diagnoses were identified. We tabulated 4235 admitting diagnoses and focused on 26 (0.6%) diagnoses that were high-risk and high-volume for complications. We found that 25% of patients with these admitting diagnoses experienced complications during hospitalization. Prevention of these complications could have saved 1241 hospital days, 11 lives, and $10.5 million. Administrative data available at the time of admission can be useful in identifying the small subset of patients who are likely to experience adverse clinical outcomes during a hospitalization and those who are likely to generate adverse financial outcomes for the hospital.

American Journal of Medical Quality, Vol. 14, No. 6, 242-247 (1999)
DOI: 10.1177/106286069901400603


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