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Holonic Systems for Decision-Making in Hospital Mergers

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Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1136))

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Abstract

Health crises, such as epidemics, require a precise decision-making and control process between the different components of the health system in order to manage patients effectively. In this context of improvement, governments in various countries create GHTs, i.e., hospital mergers or, in French, “Groupement Hospitalier de Territoire”. The purpose of this article is to discuss three more or less (de-)centralised decision-making scenarios within a GHT. In this article, these different decision-making models have been applied to a specific GHT located in the Loire region of France. These scenarios are proposed through the incorporation of the agent concept into the decision-making system of this GHT because the introduction of this concept through holonic systems is a way to efficiently integrate data into systems while considering various constraints. Before proposing these scenarios, this article first reviews the literature on GHTs from 1980 to 2021. The review shows that decentralized decision-making seems to be a key factor in the success of a GHT.

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Notes

  1. 1.

    Supplementary material presents the different combinations of keywords searched in the literature review, exclusion criteria, a figure presenting the percentages of countries in which the GHT concept is mentioned in the articles found, and articles not referenced in this article: https://github.com/disp-lab/centr_vs_decentr/blob/master/SOHOMA2023.pdf.

References

  1. Engströ, A.K., Rosengren, K., Rallberg, L.: Balancing involvement: employees’ experiences of merging hospitals in Sweden (2002)

    Google Scholar 

  2. Martín, A., Orduna-Malea, E., Thelwall, M., López-Cózar, E.D.: Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories (2018)

    Google Scholar 

  3. Tuite, A.R., Fisman, D.N., Greer, A.L.: Mathematical modelling of COVID-19 transmission and mitigation strategies in the population of Ontario, Canada (2020)

    Google Scholar 

  4. Domenico, B.G., Claudia, G., Monika, O., Ralf, J.: Covid-19: decision making and palliative care (2020)

    Google Scholar 

  5. Zareie, B., Roshani, A., Mansournia, M.A., Rasouli, M.A., Moradi, G.: A model for COVID-19 prediction in Iran based on China parameters (2020). https://doi.org/10.1101/2020.03.19.20038950

  6. Wolfram, C.: An agent-based model of COVID-19 (2020)

    Google Scholar 

  7. Hsieh, F.-S., Lin, J.-B.: Scheduling patients in hospitals based on multi-agent systems, pp. 32–42 (2014)

    Google Scholar 

  8. Satta, G., Edmonstone, J.: Consolidation of pathology services in England: have savings been achieved? (2018)

    Google Scholar 

  9. Porter, H.B., Tindale, J.A., Mark, K.P.: Process evaluation of the community support connections merger (2009)

    Google Scholar 

  10. Snyder, H.: Literature review as a research methodology: an overview and guidelines. J. Bus. Res. 104, 333–339 (2014)

    Article  Google Scholar 

  11. Wu, H., Xu, Z., Ren, P., Liao, H.: Hesitant fuzzy linguistic projection model to multi-criteria decision making for hospital decision support systems (2018)

    Google Scholar 

  12. Caulfield, J., Liu, A.: Shifting concepts of autonomy in the Hong Kong Hospital Authority (2006)

    Google Scholar 

  13. Kastor, J.A.: Failure of the merger of the Mount Sinai and New York university hospitals and medical schools: Part 1 (2010)

    Google Scholar 

  14. Kastor, J.A.: Failure of the merger of the Mount Sinai and New York university hospitals and medical schools: Part 2 (2010)

    Google Scholar 

  15. Haier, J., Mayer, M., Schaefers, J., Geyer, S., Feldner, D.: A pyramid model to describe changing decision making under high uncertainty during the COVID-19 pandemic (2022)

    Google Scholar 

  16. Decker, K., Li, J.: Coordinated Hospital Patient Scheduling (1998)

    Google Scholar 

  17. Lim, K.K.: Impact of hospital mergers on staff job satisfaction: a quantitative study (2014)

    Google Scholar 

  18. Kjekshus, L., Hagen, T.: Do hospital mergers increase hospital efficiency? Evidence from a National Health Service country (2007)

    Google Scholar 

  19. Adriaanse, L.S., Rensleigh, C.: Web of science, scopus and google scholar a content comprehensiveness comparison. Electron. Libr. 31, 727–744 (2013)

    Article  Google Scholar 

  20. Liberatore, M.J., Nydick, R.L.: The analytic hierarchy process in medical and health care decision making: a literature review (2008)

    Google Scholar 

  21. Furmankiewicz, M., Sołtysik-Piorunkiewicz, A., iuziański, P.: Artificial Intelligence Systems for Knowledge Management in e-Health: The Study of Intelligent Software Agents (2014)

    Google Scholar 

  22. Keane, M., Sutton, M., Farragher, L., Long, J.: Barriers and facilitators to successful hospital mergers: a systematic review (2016)

    Google Scholar 

  23. Yazdani, M., Torkayesh, A.E., Chatterjee, P.: An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital (2020)

    Google Scholar 

  24. Beaulieu, N.D., Dafny, L.S., Landon, B.E., Dalton, J.B., Kuye, I., McWilliams, J.M.: Changes in Quality of Care after Hospital Mergers and Acquisitions (2020)

    Google Scholar 

  25. McGrath, P.: Overcoming the distance barrier in relation to treatment for haematology patients: Queensland findings(2015)

    Google Scholar 

  26. Ovseiko, P.V., Melham, K., Fowler, J., Buchan, A.M.: Organisational culture and post-merger integration in an academic health centre: a mixed-methods study (2015)

    Google Scholar 

  27. Unland, R.: A Holonic Multi-agent System for Robust, Flexible, and Reliable Medical Diagnosis (2003)

    Google Scholar 

  28. Ng, R.J., et al.: Exploring patients’ experience on hospital merger: have they benefited from cluster hospital initiative in Malaysia? (2020)

    Google Scholar 

  29. Lee, S.-Y.D., Chen, W.L., Weiner, B.J.: Community Accountability, and Service Provision in U.S. Community Hospitals (2004)

    Google Scholar 

  30. Chakraborty, S., Gupta, S.: Medical application using multi agent system-a literature survey. Int. J. Eng. Res. Appl. 4(2), 528–546 (2014)

    Google Scholar 

  31. Kristensen, T., Bogetoft, P., Pedersen, K.M.: Potential gains from hospital mergers in Denmark (2010)

    Google Scholar 

  32. Kong, X., et al.: Overview of the health care system in Hong Kong and its referential significance to mainland China (2015)

    Google Scholar 

  33. Arabi, Y.M., Murthy, S., Webb, S.: COVID-19: a novel coronavirus and a novel challenge for critical care (2020)

    Google Scholar 

  34. Vyklyuk, Y., Manylich, M., Škoda, M., Radovanović, M.M., Petrović, M.D.: Modeling and analysis of different scenarios for the spread of COVID-19 by using the modified multi-agent systems - evidence from the selected countries (2021)

    Google Scholar 

  35. Murray, Z.: Community representation in hospital decision making: a literature review (2015)

    Google Scholar 

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Correspondence to Nouha Jlassi .

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Jlassi, N., Moyaux, T., Bouleux, G., Ouzrout, Y. (2024). Holonic Systems for Decision-Making in Hospital Mergers. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_10

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