Abstract
In China’s heavy load hospitals, the number of patients is far exceeding the hospital’s service resources, and the hospital’s outpatient system is usually much more complicated so that patients need to go through multiple stages to see doctors. In this study, based on the exploratory data analysis, we analyze the relationship among physician’s service efficiency, the length of patient queue and the patient waiting time. The result indicates that the physicians’ service efficiency has a positive correlation with the length of patient queue. The study also reveals that there is a certain correlation among the number of registered patients, the trend of change in the efficiency of doctor services, and the queue length of patients’ wait in a day, and there is an effect of time lag among them, which could affect the efficiency of the treatment of the following stages by adjusting the treatment efficiency of the former stages. This work is aimed at the research of heavily loaded hospital outpatient systems. It is a result of exploratory data analysis on a large amount of real data and the relationship among the three variables mentioned above can assist the hospital in making decisions to some extent.
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References
Harris, S., May, J., Vargas, L.: Predictive analytics model for healthcare planning and scheduling. Eur. J. Oper. Res. 253(1), 121–131 (2016)
Riise, A., Mannino, C., Burke, E.: Modelling and solving generalised operational surgery scheduling problems. Comput. Oper. Res. 66, 1–11 (2016)
Harper, P., Shahani, A.: Modelling for the planning and management of bed capacities in hospitals. J. Oper. Res. Soc. 53(1), 11–18 (2002)
Li, F., Gupta, D., Potthoff, S.: Improving operating room schedules. Health Care Manag. Sci. 19(3), 261–278 (2016)
Abualenain, J., Frohna, W., Shesser, R., Ding, R., Smith, M., Pines, J.: Emergency department physician-level and hospital-level variation in admission rates. Ann. Emerg. Med. 61(6), 638–643 (2013)
Ben-Tovim, D., Filar, J., Hakendorf, P., Qin, S., Thompson, C., Ward, D.: Hospital event simulation model: arrivals to discharge–design, development and application. Simul. Model. Pract. Theory 68, 80–94 (2016)
Yankovic, N., Green, L.: Identifying good nursing levels: a queuing approach. Informs 59(4), 942–955 (2011)
Zacharias, C., Armony, M.: Joint panel sizing and appointment scheduling in outpatient care. Manage. Sci. 63(11), 3978–3997 (2016)
Shi, P., Chou, M., Dai, J., Ding, D., Sim, J.: Models and insights for hospital inpatient operations: time-dependent ED boarding time. Manage. Sci. 62(1), 1–28 (2015)
Rohleder, T., Lewkonia, P., Bischak, D., Duffy, P., Hendijani, R.: Using simulation modeling to improve patient flow at an outpatient orthopedic clinic. Health Care Manag. Sci. 14(2), 135–145 (2011)
Qu, X., Peng, Y., Kong, N., Shi, J.: A two-phase approach to scheduling multi-category outpatient appointments – a case study of a women’s clinic. Health Care Manag. Sci. 16(3), 197–216 (2013)
Baron, O., Berman, O., Krass, D., Wang, J.: Using strategic idleness to improve customer service experience in service networks. Oper. Res. 62(1), 123–140 (2014)
Jiang, L., Giachetti, R.: A queueing network model to analyze the impact of parallelization of care on patient cycle time. Health Care Manag. Sci. 11(3), 248–261 (2008)
Brahimi, M., Worthington, D.: Queueing models for out-patient appointment systems—a case study. J. Oper. Res. Soc. 42(9), 733–746 (1991)
Green, L., Kolesar, P., Whitt, W.: Coping with time-varying demand when setting staffing requirements for a service system. Prod. Oper. Manag. 16(1), 13–39 (2007)
Mardiah, F., Basri, M.: The Analysis of appointment system to reduce outpatient waiting time at Indonesia’s public hospital. Hum. Resour. Manag. Res. 3(1), 27–33 (2013)
Allon, G., Deo, S., Lin, W.: The impact of size and occupancy of hospital on the extent of ambulance diversion: theory and evidence. Oper. Res. 61(3), 544–562 (2013)
Dai, J., Shi, P.: A two-time-scale approach to time-varying queues in hospital inpatient flow management. Oper. Res. 65(2), 514–536 (2017)
Kc, D., Terwiesch, C.: Impact of workload on service time and patient safety: an econometric analysis of hospital operations. Manage. Sci. 55(9), 1486–1498 (2009)
Kc, D., Terwiesch, C.: An econometric analysis of patient flows in the cardiac ICU. Manuf. Serv. Oper. Manag. 14(1), 50–65 (2011)
Findlay, M., Grant, H.: An application of discrete-event simulation to an outpatient healthcare clinic with batch arrivals. In: Proceedings of the 2011 Winter IEEE Simulation Conference (WSC), pp. 1166–1177 (2011)
Jaeker, J., Tucker, A.: Past the point of speeding up: the negative effects of workload saturation on efficiency and patient severity. Manage. Sci. 63(4), 1042–1062 (2017)
Acknowledgements
This work was partially supported by National Science Foundation of China (Grant number 61702023, 71532002), Humanities and Social Science Foundation of Ministry of Education of China (Grant number 17YJC870015), the Fundamental Research Funds for the Central Universities of China (Grant number 2018JBM304), the Fundamental Research Funds for the Central Universities (Grant number 2017YJS075).
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Xu, Y., Shang, X., Zhao, H., Zhang, R., Wang, J. (2018). The Characteristics of Service Efficiency and Patient Flow in Heavy Load Outpatient Service System. In: Chen, J., Yamada, Y., Ryoke, M., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2018. Communications in Computer and Information Science, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-3149-7_2
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DOI: https://doi.org/10.1007/978-981-13-3149-7_2
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