Risk Management in the Healthcare Facilities: Case Study 

  • Katerina Vichova 
  • Kamil Peterek 
  • Romana Heinzova , 
  • Marek Tomastik
  • a,b,c,d 1Tomas Bata University in Zlín, Faculty of Logistics and Crisis Management, Studentské náměstí 1532, Uherské Hradiště, 686 01,  Czech Republic 
  • Massachusetts General Hospital and Harvard Medical School, Boston, USA Center for Medical Simulation, Boston, USA
Cite as
Vichova K. , Peterek K. , Heinzova R., Tomastik M. (2021). Risk Management in the Healthcare Facilities: Case Study . Proceedings of the 10th International Workshop on Innovative Simulation for Healthcare (IWISH 2021), pp. 11-16. DOI: https://doi.org/10.46354/i3m.2021.iwish.003

Abstract

The COVID-19 pandemic has affected the whole world, and we can classify it as a significant disaster in modern history. However, not only a pandemic is the unique disaster that has hit the earth. Due to the increased attention to the pandemic, spent not much attention on the other disasters. There have been forest fires in Australia, floods in Indonesia, volcano eruption in the Philippines, and others in 2020. Several disasters are causing cascading effects that may affect different sectors. Fires or floods are just one of them. The cascade effect can endanger several elements of critical infrastructure, such as the energy sector and healthcare. In healthcare facilities, patients are dependent on electricity supplies. It is therefore essential that the proper functioning of healthcare facilities is maintained. The aim of the paper is to highlight the growing trend in the number of disasters around the world and draw attention to the preparedness of healthcare facilities to solve these disasters. Based on the analysis, we can take the information that there is a big difference in the preparedness of the healthcare facilities to solve a power outage.

References

  1. Batima, P., Natsagdorj, L., Batnasan, N. (2013). Vulnerability of Mongolia´s pastoralists to climate extremes and changes. Climate Change and Vulberability, 67–87.
  2. Bernatik, A., Senovsky, P., Senovsky, M., Rehak, D. (2013). Territorial Risk Analysis and Mapping. Chemical Engineering Transactions, 31:79–84.
  3. Brazdil, R., Stucki, P., Szabo, P., Reznickova, L., Dolak, L., Dobrovolny, P., Tolast, R., Kotyza, O., Chroma, K., Scuhankova, S. (2018). Windstroms and forest disturabnces in the Czech Lands: 1801-2015. Agricultural and Forest Meteorology, 250-251:47–63.
  4. Council Directive 2008/114/ES. (2008). Identification and designation of European Critical Infrastructures and the assessment of the need to improve their protection.
  5. Ferretti, I., Mazzoldi, L., Zanosi, S., Zavanella, L. (2016). Learning effects in professional training for emergencies management in industrial plants with serious games. Proceedings of 5th International Workshop on Innovative Simulation for Health Care, IWISH 2016, 32-41.
  6. Filipe, J.F., Harrera, V., Curone, G., Vigo, D., Riva, F. (2020). Floods, Hurricanes, and Other Catastrophes: A Challenge for the Immune System of Livestock and Other Animals. Frontiers in Veterinary Science, 17(16):1–8.
  7. Government Regulation no. 432. (2010). Criteria for  determining the critical infrastructure element, Czech Republic.
  8. Heite, M., Merz, M., Schutlmann, F. (2011). Scenario-based Impact Analysis of a Power Outage on Healthcare Facilities in Germany. International Journal of Disaster Resilience in the Built Environment, 2(3):222-244.
  9. Hendl, J. (2015) Overview of statistical methods: data analysis and meta-analysis, Prague, Czech Republic.
  10. Kim, T.-K., Choi, S.-J., Choi, J.-H., Kin, J.-H. J. (2019). Prediction of Chloride Penetration Depth Rate and Diffusion Coefficient Rate of Concrete from Curing Condition Variations due to Climate Change Effect. International Journal of Concrete Structures and Materials, 13(15):2–13.
  11. Lebassi-Habtezionm, B. and Diffenbaugh, N.S. (2013). Nonhydrostatic nested climate modeling: A case study of the 2010 summer season over the western United States. Journal of Geophysical Research Atmospheres, 118(19):10,944–10,962.
  12. Luskova, M. and Leitner, B. (2018). Extreme Weather Impact on Transportation and Energy
    Infrastrcuture. Proceedings of 22nd International Scientific Conference. Transport Means 2018, 569–573.
  13. Munich RE, NatCatSERVICE (2020). accessed 20. 03. 2020.
  14. Rehak, D., Senovsky, P., Hromada, M., Lovecek, T., Novotny, P. (2018). Cascading Impact Assessment in a Critical Infrastructure System. International Journal of Critical Infrastructure Protection, 22:125–138.
  15. Rehak, D., 2020a, Assessing and Strengthening Organizational Resilience in a Critical Infrastructure System: Case Study of the Slovak Republic. Safety Science, 123:1–9.
  16. Rehak, D., Hromada, M., Lovecek, T. (2020b). Personnel Threats in the Electric Power Critical Infrastructure Sector and Their Effect on Dependent Sectors: Owerview in the Czech Republic. Safety Science, 127:1-10.
  17. Splichalova, A., Patrman, D., Kotalova, N. (2020). Predictive Indication of Performance Failure in Electricity Critical Infrastrcuture Elements. Chemical Engineering Transactions, 82:7-12.
  18. Suszanowicz, D. and Ratuszny, P. (2019). Energy Efficiency Improvement in Hospital Buildings, Based on the Example of a Selected Type of Hospital Facility in Poland. IOP Conf. Series: Materials Science and Engineering, 564:1-6.
  19. Tasselaar, M., Wouter Botzen, W.J., Aerts, J.C.J.H. (2020). Impacts of Climate Change and Remote Natural Catastrophes on EU Flood Insurance Markets: An Analysis of Soft and Hard Reinsurance Markets for Flood Coverage. Atmosphere, 11(146):1–19.
  20. United Nations (2015). Sendai Framework for Disaster Risk Reduction 2015-2030.
  21. Ulbrich, U., Lackebusch, G.C., Donat, M.G. (2013). Windstorms, the Most Costly Natural Hazard in Europe, Natural Disasters and Adaptation to Climate Change, Cambridge University Press, Cambridge, UK, 109–120.
  22. Zheng, D., Zheng, H., Yuan, Y., Deng, Z., Wang, K., Lin, G., Chen, Y., Xia, J., Jin, S.-F. (2020). Natural disasters and their impacts on the silica losses from agriculture in China from 1988 to 2016, 115:1–17.