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2024 | OriginalPaper | Chapter

Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review

Authors : Bernardine Chigozie Chidozie, Ana Luísa Ramos, José Vasconcelos Ferreira

Published in: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems

Publisher: Springer Nature Switzerland

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Abstract

The objective of this study is to systematically evaluate peer-reviewed literature and analyze the current research on the thematic area “Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0” using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. This systematic review was conducted in compliance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) statement and implemented with the aid of the StArt software. Appropriate keywords were used in a search of the Science Direct, SCOPUS, and Web of Science databases. A total of 357 papers were retrieved from the databases and evaluated automatically. Eventually, 79 papers were analyzed according to their title, keywords and abstract. After the full-text analysis, 33 papers successfully met the inclusion criteria in the study. The review showed that healthcare providers and decision-makers can be guided by applying the Key Performance Indicators (KPIs) obtained from the simulation-based platforms to ensure quality and resilient health system.

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Mohanta, B., Das, P., Patnaik, S.: Healthcare 5.0: a paradigm shift in digital healthcare system using artificial intelligence, IOT and 5G communication. In: Proceedings - 2019 International Conference on Applied Machine Learning, ICAML, pp. 191–196 (2019)

Vázquez-Serrano, J., Peimbert-García, R., Cárdenas-Barrón, L.: Discrete-event simulation modeling in healthcare: a comprehensive review. Int. J. Environ. Res. Publ. Health 18(22), 12262 (2021)CrossRef

DeRienzo, C.M., Shaw, R.J., Meanor, P., Lada, E., Ferranti, J., Tanaka, D.: A discrete event simulation tool to support and predict hospital and clinic staffing. Health Inform. J. 23(2), 124–133 (2017)CrossRef

Jin, W., Kim, D.H.: Design and implementation of e-health system based on semantic sensor network using IETF YANG. Sensors (Basel, Switzerland) 18(2) (2018)

Khalfaoui, I., Hammouche, A.: Modelling and optimizing health emergency services: a regional study case. Int. J. Healthc. Manag. 14(4), 1551–1562 (2020)CrossRef

Shim, S.J., Kumar, A., Jiao, R.: Using computer simulation for optimal staffing: a case for the patient registration process of a hospital. Technol. Health Care. 25(3), 385–390 (2017)CrossRef

Yousefi, M., Yousefi, M., Fogliatto, F.S., Ferreira, R.P.M., Kim, J.H.: Simulating the behavior of patients who leave a public hospital emergency department without being seen by a physician: a cellular automaton and agent-based framework. BJMBR 51(3) (2018)

Kotiadis, K., Tako, A.A.: Facilitated post-model coding in Discrete Event Simulation (DES): a case study in healthcare. Eur. J. Oper. Res. 10(47), 266 (2017)

Conlon, M.E., Molloy, O.: Knowledge management in healthcare: information requirements when creating a decision support tool in radiology. In: Proceedings of 2019 KnowledgeMI, pp. 317–324 (2019)

10.

Lopes, D.F., Ramos, A.L., Castro, E.A.: The health workforce demand: a systematic literature review. Ciencia e Saude Coletiva 26, 2431–2448 (2021)CrossRef

11.

Zhang, C., Grandits, T., Härenstam, K.P., Hauge, J.B., Meijer, S.: A systematic literature review of simulation models for non-technical skill training in healthcare logistics. Adv. Simul. 3(15) (2018)

12.

Hvitfeldt-Forsberg, H., Mazzocato, P., Glaser, D., Keller, C., Unbeck, M.: Staffs’ and managers’ perceptions of how and when discrete event simulation modelling can be used as a decision support in quality improvement: a focus group discussion study at two hospital settings in Sweden. BMJ 7(5) (2017)

13.

Zeigler, B.P.: Discrete event system specification framework for self-improving healthcare service systems. IEEE Syst. J. 12(1), 196–207 (2018)CrossRef

14.

Sulis, E., Terna, P.: An agent-based decision support for a vaccination campaign. J. Med. Syst. 45(11), 1–7 (2021). https://doi.org/10.1007/s10916-021-01772-1CrossRef

15.

Sansone, M., Holmstrom, P., Hallberg, S., Nordén, R., Andersson, L.M., Westin, J.: System dynamic modelling of healthcare associated influenza -a tool for infection control. BMC Health Serv. Res. 22(1), 709 (2022)CrossRef

16.

Hamza, N., Majid, M.A., Hujainah, F.: SIM-PFED: a simulation-based decision-making model of patient flow for improving patient throughput time in emergency department. IEEE Access 9, 103419–103439 (2021)CrossRef

17.

Mielczarek, B., Zabawa, J.: Modeling healthcare demand using a hybrid simulation approach. In: Proceedings - Winter Simulation Conference, pp.1535–1546 (2016)

18.

Ordu, M., Demir, E., Tofallis, C., Gunal, M.M.: A novel healthcare resource allocation decision support tool: a forecasting-simulation-optimization approach. J. Oper. Res. Soc. 72(3), 485–500 (2021)CrossRef

19.

Keshtkar, L., Rashwan, W., Abo-Hamad, W., Arisha, A.: A hybrid system dynamics, discrete event simulation and data envelopment analysis to investigate boarding patients in acute hospitals. Oper. Res. Health Care 26, 100266 (2020)CrossRef

20.

Leva, A., Sulis, E.: A business process methodology to investigate organization management: a hospital case study. WSEA Trans. Bus. Econ. 14, 2224–2899 (2017)

21.

Burlea-Schiopoiu, A., Ferhati, K.: The managerial implications of the key performance indicators in healthcare sector: a cluster analysis. Healthcare 9(1), 19 (2021)CrossRef

22.

Vanbrabant, L., Braekers, K., Ramaekers, K., Nieuwenhuyse, I.V.: Simulation of emergency department operations: a comprehensive review of KPIs and operational improvements. Comput. Ind. Eng. 3(25) (2019)

23.

Demir, E., Gunal, M., Southern, D., Gunal, M.M.: Demand and capacity modelling for acute services using discrete event simulation. Health Syst. 6(1), 33–40 (2017)CrossRef

24.

Demir, E., Southern, D.: Enabling better management of patients: discrete event simulation combined with the STAR approach. J. Oper. Res. Soc. 5, 577–590 (2017)CrossRef

25.

Nunes-Vaz, R., Arbon, P., Steenkamp, M.: Imperatives for health sector decision-support modelling. Int. J. Disaster Risk Reduct. 38, 101234 (2019)CrossRef

26.

Cho, M., Song, M., Yoo, S., Reijers, H.A.: An Evidence-based decision support framework for clinician medical scheduling. IEEE Access 7, 15239–15249 (2019)CrossRef

27.

Qureshi, S.M., Purdy, N., Neumann, W.P.: Developing a modelling approach to quantify quality of care and nurse workload—field validation study. Oper. Res. Health Care 100301 (2021)

28.

Aghaei Chadegani, A., et al.: A comparison between two main academic literature collections: web of science and Scopus databases. Asian Soc. Sci. 9(5), 18–26 (2013)

29.

Galetsi, P., Katsaliaki, K., Kumar, S.: Values, challenges and future directions of big data analytics in healthcare: a systematic review. Soc. Sci. Med. 241, 112533 (2019)CrossRef

30.

Martin, G.P., et al.: A multiple-model generalisation of updating clinical prediction models. John Wiley Publication Stat. Med. 37, 1343–1358 (2017)

31.

Harper, A., Mustafee, N.: Proactive service recovery in emergency departments: a hybrid modelling approach using forecasting and real-time simulation. In: Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS ‘19), pp. 201–204 (2019)

32.

Terning, G., Brun, E.C., El-Thalji, I.: Modeling patient flow in an emergency department under COVID-19 pandemic conditions: a hybrid modeling approach. Healthcare (Basel) 10(5), 840 (2022)CrossRef

Title: Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review
Authors: Bernardine Chigozie Chidozie
Ana Luísa Ramos
José Vasconcelos Ferreira
Publisher: Springer Nature Switzerland
Book: Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
Print ISBN: 978-3-031-38164-5

Electronic ISBN: 978-3-031-38165-2

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-38165-2_78