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Case-Mix Classification for Emergency Departments

Bibliographic Data

ID9102124
AuthorsJames M Cameron (0000-0002-9348-810X, corresponding author), Larry J Braff (University of California, Los Angeles), Rabinder Sekhon (corresponding author)
Year1990
Volume28
Issue2
Pages146-158
Publication date1990-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-199002000-00005
PMID2105415
OpenAlexW2045156123
LanguageEN
References cited2

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

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Citation velocityhistorical
Highly citedNo
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