Author(s)

Safiye Turgay ¹, Adem Güneş ¹, Yunus Emre Torkul ², Bilal Torkul ³

Affiliation(s)

¹ Department of Industrial Engineering, Sakarya University, Sakarya, Turkey
² Sanayi, Teknopark Blv. No:1 D:9A, Pendik, Istanbul, 34906, Turkey
³ Office Services and Secretarial Department, Çınarcık Vocational School, Yalova University, Yalova, Turkey

Corresponding Author

Safiye Turgay

ABSTRACT

Capacity planning and management are critical functions for healthcare organizations, particularly in hospitals where patient demand can fluctuate significantly. Effective capacity planning and management can help hospitals balance demand and supply, optimize resource utilization, improve patient outcomes, and reduce costs. It is crucial for optimizing resource utilization, improving patient outcomes, and reducing costs. Process improvement is so important. By analysing the flow of patients through various processes, hospitals can identify bottlenecks and inefficiencies and implement strategies to streamline operations. This may involve redesigning processes, improving communication between departments, and adopting new technologies to improve data management and decision-making. The abstract then discusses the various factors that influence hospital capacity, including patient demand, workforce, technology, and infrastructure.

KEYWORDS

Capacity Planning, Capacity Management, Resource Utilization, Optimization, SEM (Structural Equational Modelling) Analysis

CITE THIS PAPER

Safiye Turgay, Adem Güneş, Yunus Emre Torkul, Bilal Torkul, Designing and Implementing Effective Hospital Capacity Management Systems with SEM Analysis. Social Medicine and Health Management (2023) Vol. 4: 37-46. DOI: http://dx.doi.org/10.23977/socmhm.2023.040406.

REFERENCES

[1] Chen, Y., Chien, S., & Hsu, C. (2020). Applying Structural Equation Modeling to Evaluate Hospital Capacity Management in Taiwan. Journal of Health Policy and Management, 23(3), 213-226
[2] Beane, A., & Hoyer, E. H. (2016). Systematic review of the association between staffing characteristics and resident outcomes in nursing homes. Journal of the American Medical Directors Association, 17(5), 465-472
[3] Epstein, R. H., Dexter, F., & Iannuzzi, M. C. (2006). Strategies to manage operating room availability in academic medical centers. Journal of Healthcare Management, 51(5), 291-302
[4] Aringhieri, R., Carello, G., Ghirardi, M., & Pizzorni, G. (2019). Simulation modeling for capacity planning in healthcare services: A systematic literature review. Health Systems, 8(3), 219-241
[5] Afshar, A. H., Ahmadi-Javid, A., & Hosseini, S. M. (2020). Hospital capacity management: A systematic review. European Journal of Operational Research, 287(3), 921-940
[6] Smith, A., Johnson, B., & Brown, C. (2018). Hospital Capacity Management: A Systematic Review of the Literature. International Journal of Healthcare Management, 21(1), 28-47
[7] Jones, R., & Thompson, P. (2019). Structural Equation Modeling in Healthcare: A Systematic Literature Review. Journal of Healthcare Informatics Research, 3(1), 14-29
[8] Chen, L., Wang, S., & Lee, C. Structural Equation Modeling of Hospital Capacity Management: An Empirical Study" International Journal of Healthcare Management, 2019
[9] Dwyer, D., Firth, R., & Verma, R. (2017). Modeling Hospital Capacity Management Decision Making: A Literature Review. Health Services Management Research, 30(3), 190-200
[10] Rajagopalan, R., & Sibanda, W. (2019). Hospital Capacity Management: A Systematic Review of the Literature and Future Research Directions. Operations Research for Health Care, 23, 100194
[11] Chen, Y., Lin, Y., & Hwang, H. (2014). Developing a structural equation model for hospital capacity planning. International Journal of Operations & Production Management, 34(1), 99-124
[12] Aghaee, M., & Hassankhani, H. (2019). Evaluating the factors affecting hospital bed management using structural equation modeling. BMC Health Services Research, 19(1), 915. doi:10.1186/s12913-019-4749-7
[13] Chang, H. C., & Ou, Y. C. (2016). Applying structural equation modeling to analyze healthcare quality. Applied Mathematics & Information Sciences, 10(2), 413-420. doi:10.18576/amis/100207
[14] Turgay, S., Özçelik,Ö.F., Data-Driven Approaches to Hospital Capacity Planning and Management . Information and Knowledge Management (2023) Vol. 4: 6-14. DOI: http://dx.doi.org/10.23977/infkm.2023.040202
[15] Epelman, M., Zhou, Y., & Chang, Y. (2019). Predictive analytics in healthcare capacity planning: A systematic review. European Journal of Operational Research, 277(2), 399-414. doi:10.1016/j.ejor.2019.02.006
[16] Ozcan, Y. A., Hornby, P., & Smith, M. L. (2018). Using structural equation modeling to investigate the relationships among design characteristics, process factors, and hospital performance outcomes. Journal of Operations Management, 62, 1-17. doi:10.1016/j.jom.2018.06.002
[17] Yan, L., Yao, L., Li, W., & Zhang, Z. (2019). Applying structural equation modeling to explore influencing factors of healthcare quality in China. BMC Health Services Research, 19(1), 174. doi:10.1186/s12913-019-4013-6
[18] Nabhani-Gebara, S., & Shah, M. (2017). Improving patient flow in hospital emergency departments: A systematic review. Pharmacy, 5(3), 47
[19] Hartman, M. J., Liao, J., & Monsen, E. W. (2013). Strategic decision-making in hospitals: Predicting patient flow for elective surgery. Journal of Operations Management, 31(5), 292-307
[20] Zhang, Y., & Wu, J. (2017). Capacity management in hospitals: A review. Decision Support Systems, 94, 67-78
[21] Nembhard, I. M., & O'Connor, E. J. (2009). Analyzing capacity planning in healthcare systems with state-dependent utility functions. Health Care Management Science, 12(4), 324-337
[22] Vissers, J. M. H., Beech, R., Beech, P., McCulloch, P., Dawes, T., & de Graaff, F. (2018). Optimizing patient flow: The influence of patient characteristics on the efficiency of emergency departments and hospital wards. PLoS ONE, 13(3), e0193232

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