Technology and Information Management Supporting Resilience in Healthcare and Rescue Systems

Hannele Väyrynen (), Jasmin Vainikainen (), Annamaija Paunu (), Nina Helander () and Sini Tenhovuori ()
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Hannele Väyrynen: Tampere University, Information and Knowledge Management
Jasmin Vainikainen: Tampere University, Information and Knowledge Management
Annamaija Paunu: Tampere University, Information and Knowledge Management
Nina Helander: Tampere University, Information and Knowledge Management
Sini Tenhovuori: Wellbeing Services County of Pirkanmaa

A chapter in Disaster Management and Information Technology, 2023, pp 35-49 from Springer

Abstract: Abstract Health care and rescue system resilience is the multifactoral sum of technology, humans, information, processes, and management. The coronavirus (COVID-19) pandemic has been a catalyst for transformation globally and tested the resilience of health care and rescue systems in many ways. The relevant use of technology has been acknowledged as one important element in developing resilience, but there are still very few empirical studies that have studied the role of technology in supporting system-level resilience. This chapter examines how information system solutions have advanced system resilience during the COVID-19 crisis through a literature review and empirical case study of the Finnish health care and rescue sector. According to the results of this study, the use of different technology solutions and digital services in health care and rescue has increased during the pandemic, as the crisis has accelerated the development of an information system (IS) for data sharing as well as experiments on AI and robotics. However, in developing IS solutions, several challenges arise that are specific to the health care and rescue sector that need to be taken into account: strict legislation, the privacy of health data, and the fact that implementation of a digital service cannot compromise patient care.

Keywords: Healthcare system; Rescue system; Resilience; Technology; Information management; COVID-19 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-20939-0_3

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