Abstract
Ensuring sustainable care-giving systems with a focus on human needs and desires is a major challenge. An increasing demand in home health care as well as a limited number of professionals in the labor market have led to a call for efficiency. Thus, managing existing resources has gained relevance. The overall goal is high quality care services, while ensuring economic viability. At the same time, there is a need for modern customer-friendly solutions as well as the consideration of employees’ preferences. To achieve this, adequate methods are needed that take current and future developments into account. Operational management processes in terms of planning and scheduling can be supported by multiagent systems as well as decision support systems using agent-based simulation. The aim of this work is to provide an overview of these solutions in the domain of home health care systems. To this end, we conducted a systematic literature review in which 11 relevant approaches were identified. In addition, these publications were analyzed to identify deficiencies and compared to each other. Because none of the approaches offers a sufficient solution, future work will focus on dynamic distributed scheduling for the control of operational processes which increases efficiency and improves the use of limited resources.
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References
Castelnovo, C., Matta, A., Tolio, T., Saita, L., De Conno, F.: A multi agent architecture for home care services. In: Tavakoli, M., Davies, H.T. (eds.) Reforming Health Systems: Analysis and Evidence: Strategic Issues in Health Care Management, pp. 135–151 (2006)
De Causmaecker, P., Demeester, P., Berghe, G.V., Verbeke, B.: Analysis of real-world personnel scheduling problems. In: Proceedings of the 5th International Conference on Practice and Theory of Automated Timetabling, Pittsburgh, pp. 183–197 (2004)
De Causmaecker, P., Demeester, P., Berghe, G.V., Verbeke, B.: A coordination model for distributed personnel scheduling. In: Proceedings of the 19th Orbel Conference (2005)
De Causmaecker, P., Demeester, P., Berghe, G.V., Verbeke, B.: An agent based algorithm for personnel scheduling. In: Models and Algorithms for Planning and Scheduling Problems, Siena, pp. 103–105 (2005)
Dieckmann, J.L.: Home health care: a historical perspective and overview. In: Handbook of Home Health Care Administration, pp. 9–26 (2015)
Fikar, C., Hirsch, P.: Home health care routing and scheduling: a review. Comput. Oper. Res. 77, 86–95 (2017)
Fraile Nieto, J.A., Rodríguez, S., Bajo, J., Corchado, J.M.: The THOMAS architecture: a case study in home care scenarios. In: Workshop on Agreement Technologies (WAT) (2009)
Itabashi, G., Chiba, M., Takahashi, K., Kato, Y.: A support system for home care service based on multi-agent system. In: Information, Communications and Signal Processing, pp. 1052–1056. IEEE (2006)
Kirn, S.: Flexibility of multiagent systems. In: Kirn, S., Herzog, O., Lockemann, P., Spaniol, O. (eds.) Multiagent Engineering: Theory and Applications in Enterprises, pp. 53–69. Springer, Heidelberg (2006). https://doi.org/10.1007/3-540-32062-8_4
López-Santana, E.R., Espejo-Díaz, J.A., Méndez-Giraldo, G.A.: Multi-agent approach for solving the dynamic home health care routing problem. In: Figueroa-García, J.C., López-Santana, E.R., Ferro-Escobar, R. (eds.) WEA 2016. CCIS, vol. 657, pp. 188–200. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-50880-1_17
Marcon, E., Chaabane, S., Sallez, Y., Bonte, T., Trentesaux, D.: A multi-agent system based on reactive decision rules for solving the caregiver routing problem in HHC. Simul. Model. Pract. Theory 74, 134–151 (2017)
Michel, F., Ferber, J., Drogoul, A.: Multi-agent systems and simulation: a survey from the agents community’s perspective. In: Weyns, D., Uhrmacher, A. (eds.) Multi-Agent Systems: Simulation and Applications, Computational Analysis, Synthesis, and Design of Dynamic Systems, pp. 47–51. CRC Press - Taylor & Francis (2009)
Mohammadi, A., Eneyo, E.S.: Home health care: a multi-agent system based approach to appointment scheduling. Int. J. Innov. Res. Technol. 2(3), 37–46 (2015)
Mutingi, M., Mbohwa, C.: A Home healthcare multi-agent system in a multi-objective environment. In: SAIIE25 Proceedings, pp. 636/1–8 (2013)
Mutingi, M., Mbohwa, C.: Developing multi-agent systems for mhealth drug delivery. In: Adibi, S. (ed.) Mobile Health. SSB, vol. 5, pp. 671–683. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-12817-7_29
Prieto, E.: Home Health Care Provider: A Guide to Essential Skills. Springer, Heidelberg (2008)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice Hall Series in Artificial Intelligence. Prentice Hall, Upper Saddle River (2010)
Stojanova, A., Stojkovic, N., Kocaleva, M., Koceski, S.: Agent-based Solution of Caregiver Scheduling Problem in Home-Care Context, pp. 132–135 (2017)
Widmer, T., Premm, M.: Agent-based decision support for allocating caregiving resources in a dementia scenario. In: Müller, J.P., Ketter, W., Kaminka, G., Wagner, G., Bulling, N. (eds.) MATES 2015. LNCS (LNAI), vol. 9433, pp. 233–248. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-27343-3_13
Wohlin, C.: Guidelines for snowballing in systematic literature studies and a replication in software engineering. In: 18th Conference on Evaluation and Assessment in Software Engineering, pp. 38:1–38:10. EASE 2014. ACM (2014)
Wooldridge, M.: An Introduction to MultiAgent Systems. Wiley, Hoboken (2009)
Xie, Z., Sharath, N., Wang, C.: A game theory based resource scheduling model for cost reduction in home health care, pp. 1800–1804. IEEE (2015)
Xie, Z., Wang, C.: A periodic repair algorithm for dynamic scheduling in home health care using agent-based model, pp. 245–250. IEEE (2017)
Zarour, K., Zarour, N.: An agent-based architecture for a cooperation information system supporting the homecare. In: 2008 International Workshop on Advanced Information Systems for Enterprises (IWAISE 2008), pp. 63–69. IEEE (2008)
Zarour, K., Zarour, N., Khalfi, S.: Inter-agent interaction in medical information system. J. Theor. Appl. Inf. Technol. 11, 130–142 (2010)
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Becker, C.A., Lorig, F., Timm, I.J. (2019). Multiagent Systems to Support Planning and Scheduling in Home Health Care Management: A Literature Review. In: Koch, F., et al. Artificial Intelligence in Health. AIH 2018. Lecture Notes in Computer Science(), vol 11326. Springer, Cham. https://doi.org/10.1007/978-3-030-12738-1_2
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