Automated Severity Classification of AIDS Hospitalizations

Author:

Stitt Frank W.1,Lu Ying1,Dickinson Gordon M.2,Klimas Nancy G.2

Affiliation:

1. Department of Epidemiology and Public Health, University of Miami School of Medicine, P.O. Box 016069 (R-669), Miami, Florida 33101

2. Special Immunology Unit, Veteran's Administration Medical Center, Miami, Honda

Abstract

To validate an automated AIDS severity-of-illness prognostic algorithm, 2,113 discharge summaries of HIV-infected patients were merged with the Problem-Oriented Medical Synopsis (POMS) and an HIV risk registry. The combination of a medically derived classification and staging algorithm with multivariate statistical techniques was used for automated severity-of-illness disease staging and prognostic assignment. The model correctly predicted the outcomes of 82% of all cases (death, survivorship) at discharge, and 66% of deaths.

Publisher

SAGE Publications

Subject

Health Policy

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