Analysis of the Effectiveness of Patient Flow Management in Improving Service Speed
Main Article Content
Speed of service is a vital indicator of the quality of health services, but the imbalance between surge in patient visits and facility capacity often leads to bottlenecks and long wait times. This study aims to analyze the effectiveness of the implementation of Patient Flow Management in improving service speed and operational efficiency in health facilities. The study used a quantitative descriptive approach through field observation (time and motion study), operational data measurement, and satisfaction survey at a private hospital during the period from July to September 2025. The results showed a significant impact post-implementation, where the average total waiting time was reduced by 41.5%, the doctor's workload ratio became more balanced from 1:38 to 1:26, and there was an increase in patient satisfaction scores by 30%. This efficiency is achieved through an effective strategy of digitizing the queue system and redistributing triage loads. In conclusion, Patient Flow Management has proven to be effective as an operational solution to unravel service density, but its success relies heavily on the integration of information systems and management support in adapting staff work cultures.
Adepoju, A. H., Austin-Gabriel, B., Eweje, A., & Collins, A. (2022). Framework for automating multi-team workflows to maximize operational efficiency and minimize redundant data handling. IRE Journals, 5(9), 663–664.
Al Harbi, S., Aljohani, B., Elmasry, L., Baldovino, F. L., Raviz, K. B., Altowairqi, L., & Alshlowi, S. (2024). Streamlining patient flow and enhancing operational efficiency through case management implementation. BMJ Open Quality, 13(1).
Al-Abri, R., & Al-Balushi, A. (2014). Patient satisfaction survey as a tool towards quality improvement. Oman Medical Journal, 29(1), 3–7.
Bartlett, L., Kabir, M. A., & Han, J. (2023). A review on business process management system design: The role of virtualization and work design. IEEE Access, 11, 116786–116819.
Ben-Tovim, D. I., Bassham, J. E., Bennett, D. M., & Dougherty, M. (2008). Patient flow management: Redesigning patient journeys. Medical Journal of Australia, 188(6), S14–S17.
Byrne, S., Tsegaye, A., & Thomas, J. (2020). Lean thinking in healthcare: Reducing waiting times through workflow redesign. International Journal of Healthcare Quality, 37(3), 155–167.
Elder, E., Johnston, A. N. B., & Crilly, J. (2015). Systematic review of three key strategies designed to improve patient flow through the emergency department. Emergency Medicine Australasia, 27(5), 394–404.
Harding, K. E., Leggat, S., & Bowers, B. (2020). Interdisciplinary teamwork and patient flow improvement in hospitals. BMC Health Services Research, 20(1), 457.
Hicks, C., & McGovern, T. (2019). Reducing hospital lead times through process mapping. Health Systems, 8(4), 219–230.
Khanna, S., Boyle, J., Good, N., & Lind, J. (2011). Impact of patient flow strategies on ED overcrowding. Emergency Medicine Australasia, 23(4), 510–517.
King, D. L., & Ben-Tovim, D. (2010). Hospital patient flow: The role of bottleneck identification. Australian Health Review, 34(1), 97–102.
Li, F., Nucciarelli, A., Roden, S., & Graham, G. (2016). How smart cities transform operations models: A new research agenda for operations management in the digital economy. Production Planning & Control, 27(6), 514–528.
Litvak, E., & Bisognano, M. (2011). Optimizing patient flow to improve hospital performance. Joint Commission Journal on Quality and Patient Safety, 37(5), 205–213.
Liu, Q., Leng, J., Yan, D., Zhang, D., Wei, L., Yu, A., Zhao, R., Zhang, H., & Chen, X. (2021). Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system. Journal of Manufacturing Systems, 58, 52–64.
Manning, L., & Islam, M. S. (2023). A systematic review to identify the challenges to achieving effective patient flow in public hospitals. The International Journal of Health Planning and Management, 38(3), 805–828.
Nour, S., & Arbussà, A. (2025). Driving innovation through organizational restructuring and integration of advanced digital technologies: A case study of a world-leading manufacturing company. European Journal of Innovation Management, 28(8), 3262–3283.
Oredsson, S., Jonsson, H., Rognes, J., & Lind, L. (2011). A systematic review of emergency department crowding causes and interventions. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 19(1), 34.
Rajkomar, A., Farrington, C., & Chen, C. (2016). Automated patient flow optimization using digital systems. Journal of Medical Systems, 40(9), 215.
Viriyasitavat, W., Da Xu, L., Bi, Z., & Pungpapong, V. (2019). Blockchain and internet of things for modern business process in digital economy—The state of the art. IEEE Transactions on Computational Social Systems, 6(6), 1420–1432.
Zamani, H., Parvaresh, F., & Isfahani, M. N. (2025). Optimizing patient flow logistics: Strategic challenges, tactical solutions, and future directions. BMC Health Services Research, 25(1), 1–27.
