Digital Innovation for Healthcare in COVID-19: Pandemic Strategies and Solutions

0558148 - ÚI 2023 RIV GB eng M - Monography Chapter
Kalina, Jan
Pandemic-Driven Innovations Contribute to the Development of Information-Based Medicine.
Digital Innovation for Healthcare in COVID-19: Pandemic Strategies and Solutions. London: Elsevier, 2022 - (Ordóñez de Pablos, P.; Tai Chui, K.; Lytras, M.), s. 245-262. ISBN 978-0-12-821318-6
R&D Projects: GA MZd(CZ) NU21-08-00432
Institutional support: RVO:67985807
Keywords : digitalization * artificial intelligence * decision support systems * COVID-19 pandemic * informatization * targeted interventions * ethical issues
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://dx.doi.org/10.1016/B978-0-12-821318-6.00019-0

The outbreak of the COVID-19 pandemic accelerated trends towards introducing innovative digital tools tailor-made for various applications in medical care or public health. This chapter is focused on decision support systems as important examples of artificial intelligence tools with an increasing popularity. Their potential to contribute to targeting the measures adopted against the COVID-19 pandemic is discussed. In connection with applying artificial intelligence tools in healthcare, their ability to perform epidemic modeling or to contribute to targeting public health interventions are discussed as well. The expected remarkable transforms of medical care including its informatization is described here by the concept of information-based medicine, which exceeds the limited pre-pandemic ideals of evidence-based medicine. The same is true for the concept of information-based public health.
Permanent Link: http://hdl.handle.net/11104/0331947