Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Case-Mix Classification for Emergency Departments

Datos Bibliográficos

ID9102124
AutoresJames M Cameron (0000-0002-9348-810X, autor de correspondencia), Larry J Braff (University of California, Los Angeles), Rabinder Sekhon (autor de correspondencia)
Año1990
Volumen28
Número2
Páginas146-158
Fecha de publicación1990-01-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-199002000-00005
PMID2105415
OpenAlexW2045156123
IdiomaEN
Referencias citadas2

This study developed a patient classification system for hospital emergency departments. Conducted at three Los Angeles area community hospitals, data collection included coding and abstracting medical records information, patient billing information detailing each patient's utilization of hospital services, and patient-specific provider time measuring each provider's time spent in direct patient care activities. A 20,000 patient sample was derived containing clinical and resource use variables, including physician, emergency department, and ancillary service direct costs. Patient visits were classified into 216 homogeneous groups, or patient clusters, using four types of variables: diagnoses, disposition, age, and physician procedures. The Emergency Department Groups (EDGs) appear to represent a clinically coherent system for classifying emergency department visits; moreover, the groups were found to explain 63% of the overall variance in resource use (total direct cost) suggesting that the EDGs may offer a useful tool for hospital cost control and reimbursement reform

Case mix index · Coding (social sciences) · Emergency department · Health care · Medical diagnosis · Medical emergency · Medical record · Reimbursement · Emergency and Acute Care Studies · Emergency Medicine · Healthcare Policy and Management · Medical Coding and Health Information · Medicine · Nursing

  • Diagnosis Clusters

    Ronald Schneeweiss, Roger A Rosenblatt et al.•Medical Care•1983

  • Autogrp

    Ronald Mills, Ronald E Mills et al.•Medical Care•1976

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae