[1] National Statistics Bureau:National Bureau of Statistics of China 2015.National Bureau of Statistics, Beijing (2016)
[2] Shanghai Statistical Bureau:Shanghai Statistical Yearbook 2017.Shanghai Statistical Bureau, Shanghai (2017)
[3] Bekker, R., Koeleman, P.M.:Scheduling admissions and reducing variability in bed demand.Health Care Manag.Sci.14(3), 237(2011)
[4] Monks, T., Worthington, D., Allen, M., Pitt, M., Stein, K., James, M.A.:A modelling tool for capacity planning in acute and community stroke services.BMC Health Serv.Res.16(1), 530(2016)
[5] MacStravic, R.E.S.:Admissions scheduling and capacity pooling:minimizing hospital bed requirements.Inquiry 18(4), 345-350(1981)
[6] Teixeira, A., De Oliveira, M.:Operations research on hospital admission systems:a first overview of the 2005-2014 decade.J.Phys.Conf.Ser.616, 012009(2015)
[7] Dranove, D.:Demand inducement and the physician/patient relationship.Econ.Inq.26(2), 281-298(1988)
[8] Yip, W.C.:Physician response to medicare fee reductions:changes in the volume of coronary artery bypass graft (CABG) surgeries in the medicare and private sectors.J.Health Econ.17(6), 675-699(1998)
[9] Shmueli, A., Sprung, C.L., Kaplan, E.H.:Optimizing admissions to an intensive care unit.Health Care Manag.Sci.6(3), 131-136(2003)
[10] Kim, S.H., Tong, J., Peden, C.:Admission control biases in hospital unit capacity management:how occupancy information hurdles and decision noise impact utilization.Manag.Sci.66(11), 5151-5170(2020)
[11] Kolesar, P.:A Markovian model for hospital admission scheduling.Manag.Sci.16(6), B-84(1970)
[12] Powell, A., Savin, S., Savva, N.:Physician workload and hospital reimbursement:overworked physicians generate less revenue per patient.Manuf.Serv.Oper.Manag.14(4), 512-528(2012)
[13] Freeman, M., Savva, N., Scholtes, S.:Gatekeepers at work:an empirical analysis of a maternity unit.Manag.Sci.63(10), 3147-3167(2016)
[14] Kc, D.S., Terwiesch, C.:Impact of workload on service time and patient safety:an econometric analysis of hospital operations.Manag.Sci.55(9), 1486-1498(2009)
[15] Jack, E.P., Powers, T.L.:A review and synthesis of demand management, capacity management and performance in health-care services.Int.J.Manag.Rev.11(2), 149-174(2009)
[16] Kumar, A., Ow, P.S., Prietula, M.J.:Organizational simulation and information systems design:an operations level example.Manag.Sci.39(2), 218-240(1993)
[17] Green, L.:Queueing analysis in healthcare.In:Patient Flow:Reducing Delay in Healthcare Delivery, pp.281-307.Springer, New York (2006)
[18] Gedik, R., Zhang, S., Rainwater, C.:Strategic level proton therapy patient admission planning:a Markov decision process modeling approach.Health Care Manag.Sci.20(2), 286-302(2017)
[19] Tsai, P.F., Lin, F.M.:An application of multi-attribute value theory to patient-bed assignment in hospital admission management:an empirical study.J.Healthc.Eng.5(4), 439-456(2014)
[20] Kim, S.H., Chan, C.W., Olivares, M., Escobar, G.:ICU admission control:an empirical study of capacity allocation and its implication for patient outcomes.Manag.Sci.61(1), 19-38(2014)
[21] Park, S., Lee, J., Ikai, H., Otsubo, T., Imanaka, Y.:Decentralization and centralization of healthcare resources:investigating the associations of hospital competition and number of cardiologists per hospital with mortality and resource utilization in Japan.Health Policy 113(1-2), 100-109(2013)
[22] Song, H., Tucker, A.L., Murrell, K.L.:The diseconomies of queue pooling:an empirical investigation of emergency department length of stay.Manag.Sci.61(12), 3032-3053(2015)
[23] Hackman, J.R., Oldham, G.R.:Motivation through the design of work:test of a theory.Organ.Behav.Hum.Perform.16(2), 250-279(1976)
[24] Cavalieri, M., Ferrante, L.:Does fiscal decentralization improve health outcomes? Evidence from infant mortality in Italy.Soc.Sci.Med.164, 74-88(2016)
[25] Lin, K.Y.:Decentralized admission control of a queueing system:a game-theoretic model.Naval Res.Logist.(NRL) 50(7), 702-718(2003)
[26] Dong, J., Shi, P., Zheng, F., Jin, X.:Off-service placement in inpatient ward network:resource pooling versus service slowdown.Columbia Business School Research Paper Forthcoming (2019)
[27] Song, H., Tucker, A., Graue, R., Moravick, S., Yang, J.:Capacity pooling in hospitals:the hidden consequences of off-service placement.Manag.Sci.66(9), 3825-3842(2020)
[28] Dai, J., Shi, P.:Inpatient overflow:an approximate dynamic programming approach.Manuf.Serv.Oper.Manag.21(4), 894-911(2019)
[29] Aumann, R.J., Hart, S.:Handbook of Game Theory with Economic Applications.Elsevier, NorthHolland (2002)
[30] General Office of the Ministry of Health:Notice of the general office of the ministry of health on printing and distributing the measures for surgery grading administration in medical institutions (trial).http://www.nhc.gov.cn/wjw/ywfw/201306/def185b8d52e48918cf7e12e43e956d6.shtml (2013).Accessed 1 Oct 2021
[31] Chinese Burn Association and others:Expert consensus on classification evaluation methods of burn surgery in China (2019 version).Chin.J.Burns 35(11), 769-771(2019)
[32] Hu,J.,Su,Q.,Wang,Q.,Wang,Q.:Asurgeryschedulingmodelbasedonsurgerygradingmanagement system.In:2017 International Conference on Service Systems and Service Management, pp.1-4(2017)
[33] Horn, S.D., Horn, R.A.:Reliability and validity of the severity of illness index.Med.Care 24(2), 159-178(1986)
[34] Brewster,A.C.,Jacobs,C.M.,Bradbury,R.C.:Classifyingseverityofillnessbyusingclinicalfindings.Health Care Financ.Rev.1984(Suppl), 107-108(1984)
[35] Horn, S.D., Horn, R.A., Sharkey, P.D., Chambers, A.F.:Severity of illness within DRGs:homogeneity study.Med.Care 24(3), 225-235(1986)
[36] Brewster, A.C., Karlin, B.G., Hyde, L.A., Jacobs, C.M., Bradbury, R.C., Chae, Y.M.:Medisgrps®:a clinically based approach to classifying hospital patients at admission.Inquiry 22(4), 377-387(1985)
[37] Lyandres, E., Fu, F., Li, E.X.:Do underwriters compete in IPO pricing? Manag.Sci.64(2), 925-954(2018)
[38] Huckman, R.S., Pisano, G.P.:The firm specificity of individual performance:evidence from cardiac surgery.Manag.Sci.52(4), 473-488(2006)
