Exploring overtime utilization patterns in healthcare organizations

Lamia Almorsy; Mohamed Khalifa

doi:10.3233/978-1-61499-664-4-198

Exploring overtime utilization patterns in healthcare organizations

Lamia Almorsy, Mohamed Khalifa^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

3 Citations (Scopus)

Abstract

To control healthcare costs it is essential to analyze and improve staffing, the largest organizational expense, by improving utilization of human resources. King Faisal Specialist Hospital and Research Center explored overtime utilization patterns. There was no significant correlation between overtime utilization and workload (P=0.91, r=0.04) or number of staff (P=0.71, r=0.12). Some departments showed a positive correlation between overtime utilization and workloads, others showed no correlation or even a negative correlation between overtime utilization and workloads. Consideration of other factors is recommended, including staff turnover rates, productivity and efficiency, staff competency and training. Further analysis of overtime utilization should be conducted per employees' grade and profession, to compare the utilization of the technical, nontechnical and administrative staff members. The hospital information system should not only be used to login overtime utilization and workload, but should also be enhanced to monitor, control and analyze these performance indicators.

Original language	English
Title of host publication	Unifying the applications and foundations of biomedical and health informatics
Editors	John Mantas, Arie Hasman, Parisis Gallos, Aikaterini Kolokathi, Mowafa S. Househ
Place of Publication	Amsterdam ; Berlin ; Washington, DC
Publisher	IOS Press
Pages	198-200
Number of pages	3
Volume	226
ISBN (Electronic)	9781614996637
DOIs	https://doi.org/10.3233/978-1-61499-664-4-198
Publication status	Published - 2016
Externally published	Yes
Event	14th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2016 - Athens, Greece Duration: 1 Jul 2016 → 3 Jul 2016

Publication series

Name	Studies in Health Technology and Informatics
Volume	226
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	14th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2016
Country	Greece
City	Athens
Period	1/07/16 → 3/07/16

Keywords

Healthcare
Hospitals
Human Resources
Overtime Utilization

Access to Document

10.3233/978-1-61499-664-4-198

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Exploring overtime utilization patterns in healthcare organizations'. Together they form a unique fingerprint.

Cite this

Almorsy, L., & Khalifa, M. (2016). Exploring overtime utilization patterns in healthcare organizations. In J. Mantas, A. Hasman, P. Gallos, A. Kolokathi, & M. S. Househ (Eds.), Unifying the applications and foundations of biomedical and health informatics (Vol. 226, pp. 198-200). (Studies in Health Technology and Informatics; Vol. 226). Amsterdam ; Berlin ; Washington, DC: IOS Press. https://doi.org/10.3233/978-1-61499-664-4-198

Almorsy, Lamia ; Khalifa, Mohamed. / Exploring overtime utilization patterns in healthcare organizations. Unifying the applications and foundations of biomedical and health informatics. editor / John Mantas ; Arie Hasman ; Parisis Gallos ; Aikaterini Kolokathi ; Mowafa S. Househ. Vol. 226 Amsterdam ; Berlin ; Washington, DC : IOS Press, 2016. pp. 198-200 (Studies in Health Technology and Informatics).

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abstract = "To control healthcare costs it is essential to analyze and improve staffing, the largest organizational expense, by improving utilization of human resources. King Faisal Specialist Hospital and Research Center explored overtime utilization patterns. There was no significant correlation between overtime utilization and workload (P=0.91, r=0.04) or number of staff (P=0.71, r=0.12). Some departments showed a positive correlation between overtime utilization and workloads, others showed no correlation or even a negative correlation between overtime utilization and workloads. Consideration of other factors is recommended, including staff turnover rates, productivity and efficiency, staff competency and training. Further analysis of overtime utilization should be conducted per employees' grade and profession, to compare the utilization of the technical, nontechnical and administrative staff members. The hospital information system should not only be used to login overtime utilization and workload, but should also be enhanced to monitor, control and analyze these performance indicators.",

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Almorsy, L & Khalifa, M 2016, Exploring overtime utilization patterns in healthcare organizations. in J Mantas, A Hasman, P Gallos, A Kolokathi & MS Househ (eds), Unifying the applications and foundations of biomedical and health informatics. vol. 226, Studies in Health Technology and Informatics, vol. 226, IOS Press, Amsterdam ; Berlin ; Washington, DC, pp. 198-200, 14th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2016, Athens, Greece, 1/07/16. https://doi.org/10.3233/978-1-61499-664-4-198

Exploring overtime utilization patterns in healthcare organizations. / Almorsy, Lamia; Khalifa, Mohamed.

Unifying the applications and foundations of biomedical and health informatics. ed. / John Mantas; Arie Hasman; Parisis Gallos; Aikaterini Kolokathi; Mowafa S. Househ. Vol. 226 Amsterdam ; Berlin ; Washington, DC : IOS Press, 2016. p. 198-200 (Studies in Health Technology and Informatics; Vol. 226).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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AU - Almorsy, Lamia

AU - Khalifa, Mohamed

PY - 2016

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N2 - To control healthcare costs it is essential to analyze and improve staffing, the largest organizational expense, by improving utilization of human resources. King Faisal Specialist Hospital and Research Center explored overtime utilization patterns. There was no significant correlation between overtime utilization and workload (P=0.91, r=0.04) or number of staff (P=0.71, r=0.12). Some departments showed a positive correlation between overtime utilization and workloads, others showed no correlation or even a negative correlation between overtime utilization and workloads. Consideration of other factors is recommended, including staff turnover rates, productivity and efficiency, staff competency and training. Further analysis of overtime utilization should be conducted per employees' grade and profession, to compare the utilization of the technical, nontechnical and administrative staff members. The hospital information system should not only be used to login overtime utilization and workload, but should also be enhanced to monitor, control and analyze these performance indicators.

AB - To control healthcare costs it is essential to analyze and improve staffing, the largest organizational expense, by improving utilization of human resources. King Faisal Specialist Hospital and Research Center explored overtime utilization patterns. There was no significant correlation between overtime utilization and workload (P=0.91, r=0.04) or number of staff (P=0.71, r=0.12). Some departments showed a positive correlation between overtime utilization and workloads, others showed no correlation or even a negative correlation between overtime utilization and workloads. Consideration of other factors is recommended, including staff turnover rates, productivity and efficiency, staff competency and training. Further analysis of overtime utilization should be conducted per employees' grade and profession, to compare the utilization of the technical, nontechnical and administrative staff members. The hospital information system should not only be used to login overtime utilization and workload, but should also be enhanced to monitor, control and analyze these performance indicators.

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Almorsy L, Khalifa M. Exploring overtime utilization patterns in healthcare organizations. In Mantas J, Hasman A, Gallos P, Kolokathi A, Househ MS, editors, Unifying the applications and foundations of biomedical and health informatics. Vol. 226. Amsterdam ; Berlin ; Washington, DC: IOS Press. 2016. p. 198-200. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-664-4-198