Abstract
Health Care Delivery is the process in charge of providing a certain health service addressing different questions (equity, rising cost, ...) in such a way to find a balance between service quality for patients and efficiency for health care providers. The intrinsic uncertainty and the dynamic nature of the processes in health care delivery are among the most challenging issues to deal with. This paper illustrates how online optimization could be a suitable methodology to address such challenges.
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References
Campbell, H., Bradshaw, N., Porteous, M.: Integrated care pathways. Br. Med. J. 316, 133–144 (1998)
De Bleser, L., Depreitere, R., De Waele, K., Vanhaecht, K., Vlayen, J., Sermeus, W.: Defining pathways. J. Nurs. Manag. 14, 553–563 (2006)
van de Vrugt, M.: Efficient healthcare logistics with a human touch. Ph.D. thesis, University of Twente (2016)
Jagtenberg, C., van den Berg, P., van der Mei, R.: Benchmarking online dispatch algorithms for emergency medical services. Eur. J. Oper. Res. 258(2), 715–725 (2017)
van Barneveld, T., Jagtenberg, C., Bhulai, S., van der Mei, R.: Real-time ambulance relocation: assessing real-time redeployment strategies for ambulance relocation. Socio-Econ. Plan. Sci. 62, 129–142 (2018)
Nasrollahzadeh, A., Khademi, A., Mayorga, M.: Real-time ambulance dispatching and relocation. Manuf. Serv. Oper. Manag. (2018). https://doi.org/10.1287/msom.2017.0649. Published Online: April 11, 2018
Aringhieri, R., Bocca, S., Casciaro, L., Duma, D.: A simulation and online optimization approach for the real-time management of ambulances. In: 2018 Winter Simulation Conference (WSC), vol. 2018, December, pp. 2554–2565. IEEE, Piscataway (2019)
Marynissen, J., Demeulemeester, E.: Literature review on multi-appointment scheduling problems in hospitals. Eur. J. Oper. Res. 272(2), 407–419 (2019)
Legrain, A., Fortin, M.A., Lahrichi, N., Rousseau, L.M.: Online stochastic optimization of radiotherapy patient scheduling. Health Care Manag. Sci. 18(2), 110–123 (2015)
Aringhieri, R., Duma, D., Squillace, G.: Pattern-based online algorithms for a general patient-centred radiotherapy scheduling problem. In Health Care Systems Engineering. HCSE 2019, volume 316 of Springer Proceedings in Mathematics and Statistics, pp. 251–262. Springer, Cham (2020)
Duma, D., Aringhieri, R.: An online optimization approach for the Real Time Management of operating rooms. Oper. Res. Health Care 7, 40–51 (2015)
Duma, D., Aringhieri, R.: The real time management of operating rooms. In: Operations Research Applications in Health Care Management. International Series in Operations Research & Management Science, vol. 262, pp. 55–79. Springer, Berlin (2018)
Dunke, F., Nickel, S.: Evaluating the quality of online optimization algorithms by discrete event simulation. Cent. Eur. J. Oper. Res. 25(4), 831–858 (2017)
Duma, D., Aringhieri, R.: The management of non-elective patients: shared vs. dedicated policies. Omega 83, 199–212 (2019)
George, F., Evridiki, K.: The effect of emergency department crowding on patient outcomes. Health Sci. J. 9(1), 1–6 (2015)
Aringhieri, R., Dell’Anna, D., Duma, D., Sonnessa, M.: Evaluating the dispatching policies for a regional network of emergency departments exploiting health care big data. In: International Conference on Machine Learning, Optimization, and Big Data. Lecture Notes in Computer Science, vol. 10710, pp. 549–561. Springer International Publishing, Berlin (2018)
Aringhieri, R., Bruni, M., Khodaparasti, S., van Essen, J.: Emergency medical services and beyond: addressing new challenges through a wide literature review. Comput. Oper. Res. 78, 349–368 (2017)
Duma, D.: Online optimization methods applied to the management of health services. Ph.D. thesis, School of Sciences and Innovative Technologies (2018)
Luscombe, R., Kozan, E.: Dynamic resource allocation to improve emergency department efficiency in real time. Eur. J. Oper. Res. 255(2), 593–603 (2016)
Dunke, F., Nickel, S.: A general modeling approach to online optimization with lookahead. Omega (United Kingdom) 63, 134–153 (2016)
Duma, D., Aringhieri, R.: An ad hoc process mining approach to discover patient paths of an emergency department. Flex. Serv. Manuf. J. 32, 6–34 (2020). https://doi.org/10.1007/s10696-018-9330-1
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I would like to acknowledge Davide Duma from the University of Turin for his precious collaboration in this area of research.
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Aringhieri, R. (2020). Online Optimization in Health Care Delivery: Overview and Possible Applications. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_43
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