Physicians’ Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department
Joint Authors
Mak, Gregory
Grant, William D.
McKenzie, James C.
McCabe, John B.
Source
Emergency Medicine International
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-26
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Abstract EN
Accurate predictions of patient length of stay (LOS) in the hospital can effectively manage hospital resources and increase efficiency of patient care.
A study was done to assess emergency medicine physicians' ability of predicting the LOS of patients who enter the hospital through the ER.
Results indicate that EM physicians are relatively accurate with their pediatric patients than any other age groups.
In addition, as actual hospital LOS increases, the prediction accuracy decreases.
Possible reasons may be due increasing medical complications associated with increasing age and this may lead to overall longer stays.
Other variables such as the admitted service of the patient are not statistically significant in predicting LOS in this study.
Future studies should be done in order to determine other variables that may affect LOS predictions.
American Psychological Association (APA)
Mak, Gregory& Grant, William D.& McKenzie, James C.& McCabe, John B.. 2012. Physicians’ Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department. Emergency Medicine International،Vol. 2012, no. 2012, pp.1-4.
https://search.emarefa.net/detail/BIM-501076
Modern Language Association (MLA)
Mak, Gregory…[et al.]. Physicians’ Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department. Emergency Medicine International No. 2012 (2012), pp.1-4.
https://search.emarefa.net/detail/BIM-501076
American Medical Association (AMA)
Mak, Gregory& Grant, William D.& McKenzie, James C.& McCabe, John B.. Physicians’ Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department. Emergency Medicine International. 2012. Vol. 2012, no. 2012, pp.1-4.
https://search.emarefa.net/detail/BIM-501076
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501076