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Physicians' Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department
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. Resu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272796/ https://www.ncbi.nlm.nih.gov/pubmed/22319649 http://dx.doi.org/10.1155/2012/824674 |
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author | Mak, Gregory Grant, William D. McKenzie, James C. McCabe, John B. |
author_facet | Mak, Gregory Grant, William D. McKenzie, James C. McCabe, John B. |
author_sort | Mak, Gregory |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3272796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-32727962012-02-08 Physicians' Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department Mak, Gregory Grant, William D. McKenzie, James C. McCabe, John B. Emerg Med Int Research Article 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. Hindawi Publishing Corporation 2012 2012-01-26 /pmc/articles/PMC3272796/ /pubmed/22319649 http://dx.doi.org/10.1155/2012/824674 Text en Copyright © 2012 Gregory Mak et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article 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 |
title | Physicians' Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department |
title_full | Physicians' Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department |
title_fullStr | Physicians' Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department |
title_full_unstemmed | Physicians' Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department |
title_short | Physicians' Ability to Predict Hospital Length of Stay for Patients Admitted to the Hospital from the Emergency Department |
title_sort | physicians' ability to predict hospital length of stay for patients admitted to the hospital from the emergency department |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272796/ https://www.ncbi.nlm.nih.gov/pubmed/22319649 http://dx.doi.org/10.1155/2012/824674 |
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