Analysis of Length of Stay (LOS) Data from the Medical Records of Tertiary Care Hospital in Saudi Arabia for Five Diagnosis Related Groups: Application of Cox Prediction Model

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ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org

"Analysis of Length of Stay (LOS) Data from the Medical Records of Tertiary Care Hospital in Saudi Arabia for Five Diagnosis Related Groups: Application of Cox Prediction Model"
written by Sara AL-Gahtani, Mohamed M. Shoukri,
published by Open Journal of Statistics, Vol.11 No.1, 2021

has been cited by the following article(s):

[1]	Assessment of clinical miscoding errors and potential financial their implications on healthcare management–A case of local hospital in Najran, Saudi Arabia
	Saudi Pharmaceutical …, 2024

[2]	Impact of Electronic Health Record Use on Length of Stay Management in a General Hospital in Saudi Arabia
	2023 International Conference …, 2023

[3]	Discovering relations for forecasting the length of the hospitalization time of COVID-19 patients: A first approach
	Allende, EM Céspedes-Miranda… - … on COVID-19 …, 2022

[4]	Relationship Between the Length of Stay in Emergency Departments and Clinical Outcomes of Head Trauma
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[1]	Assessment of clinical miscoding errors and potential financial their implications on healthcare management – A case of local hospital in Najran, Saudi Arabia Saudi Pharmaceutical Journal, 2024 DOI:10.1016/j.jsps.2023.101894

[2]	Impact of Electronic Health Record Use on Length of Stay Management in a General Hospital in Saudi Arabia 2023 International Conference on Power, Instrumentation, Energy and Control (PIECON), 2023 DOI:10.1109/PIECON56912.2023.10085762

[3]	Impact of Electronic Health Record Use on Length of Stay Management in a General Hospital in Saudi Arabia 2023 International Conference on Power, Instrumentation, Energy and Control (PIECON), 2023 DOI:10.1109/PIECON56912.2023.10085762

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