Solving Power Outages in Healthcare Facilities: Algorithmisation and Assessment of Preparedness

Katerina Vichova (), Martin Hromada, Martin Dzermansky, Lukas Snopek and Robert Pekaj
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Katerina Vichova: Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, Studentské Náměstí 1532, 686 01 Uherské Hradiště, Czech Republic
Martin Hromada: Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic
Martin Dzermansky: Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, Studentské Náměstí 1532, 686 01 Uherské Hradiště, Czech Republic
Lukas Snopek: Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, Studentské Náměstí 1532, 686 01 Uherské Hradiště, Czech Republic
Robert Pekaj: Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, Studentské Náměstí 1532, 686 01 Uherské Hradiště, Czech Republic

Energies, 2022, vol. 16, issue 1, 1-14

Abstract: Power outages present a significant threat to all of humanity. However, elements of critical infrastructure are most affected by this event. Among other things, healthcare facilities can be considered critical infrastructure. They are the backbone for saving lives. However, even these medical facilities can be endangered. The primary aim of this paper is to design an algorithm to assess healthcare facilities to solve power outages. Several inputs are considered for the evaluation of healthcare facilities. Based on these inputs, we could gain several outputs, such as object priority, preparedness of the healthcare facility, missing aggregate capacity and fuel stocks. Calculations to obtain this information are available in this article. This algorithm follows up the methodology for the categorisation and prioritisation of objects necessary for the resumption of electricity supply after a blackout. We conclude that only 15% of the surveyed healthcare facilities are prepared for a power outage.

Keywords: power outage; healthcare; preparedness (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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