Skip to main content

A Simulation Game of Patient Transportation

  • Chapter
  • First Online:
Neo-Simulation and Gaming Toward Active Learning

Part of the book series: Translational Systems Sciences ((TSS,volume 18))

Abstract

The handling of patients is a complex process. The training and education of patient transportation workers are meant to ensure efficiency and health outcomes. A simulation game, joined by personnel with working experience or prospective professionals in the healthcare system, is a lifelike medium for improving decision-makings in nonrational operation management. However, few examples are known in regard to synthesizing complex systems, such as clinical facilities, into healthcare simulation games. In order to fill this gap, this work proposes the adopt theory and reports the development of a simulation game that reconciles patient handling with the support of different types of simulation techniques. The simulation game has a physical entity simulator as its back end and a panel of command and control for each player as its front end. The physical entity simulator is based on the interactions of mobile agents. Agent-based modeling targets the correct level of representation of the operative environment. The simulation game is tested with managers who have more than 10 years of working experience with patient flow management in pediatric care. Reflections from players indicate that modeling and abstraction using an agent model are an efficient synthesis of complex systems. The theory, methods, and results of this study are expected to contribute to the development of simulation games that can be applied in health service provision, in general, and in patient transportation, in particular.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Schelling TC (1971) Dynamic models of segregation. J Math Sociol 1:143–186

    Article  Google Scholar 

  2. Holmgren J, Davidsson P, Persson JA, Ramstedt L (2012) TAPAS: a multi-agent-based model for simulation of transport chains. Simul Model Pract Theory 23:1–18

    Article  Google Scholar 

  3. Kalton A, Falconer E, Docherty J, Alevras D, Brann D, Johnson K (2016) Multi-agent-based simulation of a complex ecosystem of mental health care. J Med Syst 40

    Google Scholar 

  4. Carayannis EG, Provance M, Grigoroudis E (2016) Entrepreneurship ecosystems: an agent-based simulation approach. J Technol Transf 41:631–653

    Article  Google Scholar 

  5. Sternberg H, Norrman A (2017) The physical internet – review, analysis and future research agenda. Int J Phys Distrib Logist Manag 47:736–762

    Article  Google Scholar 

  6. Sun Y, Zhang C, Dong K, Lang M (2018) Multiagent modelling and simulation of a physical internet enabled rail-road intermodal transport system. Urban Rail Transit 4:141–154

    Article  Google Scholar 

  7. Borshchev A (2013) The big book of simulation modeling: multimethod modeling with AnyLogic 6, AnyLogic North America, New Jersey, pp: 25–36

    Google Scholar 

  8. Deguchi H (2004) Economics as an agent-based complex system toward agent-based social systems sciences. Springer Japan, Tokyo

    Book  Google Scholar 

  9. Kaneda T (2012) On a formalization of agent-based social systems – as a common basis for modeling gaming simulation and agent-based social simulation. Jpn J Gaming Simul 22:5–15

    Google Scholar 

  10. Anand N, Meijer D, van Duin JHR, Tavasszy L, Meijer S (2016) Validation of an agent based model using a participatory simulation gaming approach: the case of city logistics. Transp Res Part C Emerg Technol 71:489–499

    Article  Google Scholar 

  11. Ligtenberg A, van Lammeren RJA, Bregt AK, Beulens AJM (2010) Validation of an agent-based model for spatial planning: a role-playing approach. Comput Environ Urban Syst 34:424–434

    Article  Google Scholar 

  12. Mizuyama H, Nonaka T, Yoshikawa Y, Miki K (2016) ColPMan: a serious game for practicing collaborative production management. In: Simulation and gaming in the network society. Springer, Singapore, pp 185–197

    Chapter  Google Scholar 

  13. Hamada R, Kaneko T, Hiji M (2018) Development of BASE manufacturing business board game. In: Lukosch HK, Bekebrede G, Kortmann R (eds) Simulation gaming. Applications for sustainable cities and smart infrastructures. Springer International Publishing, Cham, pp 34–40

    Chapter  Google Scholar 

  14. Kriz WC, Manahl W (2018) Gaming simulation as a science of design approach. In: Naweed A, Wardaszko M, Leigh E, Meijer S (eds) Intersections in simulation and gaming. Springer International Publishing, Cham, pp 380–393

    Chapter  Google Scholar 

  15. Hung GR, Kissoon N (2009) Impact of an observation unit and an emergency department-admitted patient transfer mandate in decreasing overcrowding in a pediatric emergency department: a discrete event simulation exercise. Pediatr Emerg Care 25:160–163

    Article  Google Scholar 

  16. Biggs JB, Collis KF (1982) Origin and description of the SOLO taxonomy. In: Evaluating the quality of learning. Elsevier, pp 17–31

    Google Scholar 

  17. Klabbers JHG (2008) The magic circle: principles of gaming & simulation, 2nd edn. Sense Publ, Rotterdam

    Google Scholar 

  18. Klabbers JHG (1999) Three easy pieces: a taxonomy on gaming. In: Sounders D, Severn J (eds) Simulation & gaming yearbook. Simulation and games for strategy and policy planning. Kogan Page, London, pp 16–33

    Google Scholar 

  19. AnyLogic (2017) AnyLogic–Multimethod Simulation Software, https://www.anylogic.com. Accessed 31 Sept 2017

  20. Unbeck M, Dalen N, Muren O, Lillkrona U, Härenstam KP (2010) Healthcare processes must be improved to reduce the occurrence of orthopaedic adverse events: healthcare processes improvement to reduce occurrence of orthopaedic events. Scand J Caring Sci 24:671–677

    Article  Google Scholar 

  21. Savage C, Gaffney FA, Hussain-Alkhateeb L, Olsson Ackheim P, Henricson G, Antoniadou I, Hedsköld M, Pukk Härenstam K (2017) Safer paediatric surgical teams: a 5-year evaluation of crew resource management implementation and outcomes. Int J Qual Health Care 29:853–860

    Article  Google Scholar 

  22. Kriz WC (2010) A systemic-constructivist approach to the facilitation and debriefing of simulations and games. Simul Gaming 41:663–680

    Article  Google Scholar 

  23. R.M. Harden JC (2000) AMEE guide no 20: the good teacher is more than a lecturer - the twelve roles of the teacher. Med Teach 22:334–347

    Google Scholar 

  24. Greenblat CS, Duke RD (1975) Gaming simulation: rationale, design, and applications. Halsted Press/Wiley, New York

    Google Scholar 

  25. William T, Branch J, Kern D, Haidet P, Weissmann P, Gracey CF, Mitchell G, Inui T (2001) Teaching the human dimensions of Care in Clinical Settings. JAMA 286:1067–1074

    Article  Google Scholar 

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

    Article  Google Scholar 

  27. Holzinger A, Kickmeier-Rust MD, Wassertheurer S, Hessinger M (2009) Learning performance with interactive simulations in medical education: lessons learned from results of learning complex physiological models with the HAEMOdynamics SIMulator. Comput Educ 52:292–301

    Article  Google Scholar 

Download references

Acknowledgment

Support from Karin Pukk Härenstam, Anna Bosaeus, Hamza Hanchi, and Jonas Nordquist is greatly acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chen Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zhang, C., Meijer, S. (2019). A Simulation Game of Patient Transportation. In: Hamada, R., et al. Neo-Simulation and Gaming Toward Active Learning. Translational Systems Sciences, vol 18. Springer, Singapore. https://doi.org/10.1007/978-981-13-8039-6_5

Download citation

Publish with us

Policies and ethics