Pandemic-Driven Innovations Contribute to the Development of Information-Based Medicine

Authors: Jan Kalina
Publication year: 2022
Publication type: Kapitola v monografii
Periodical: Digital Innovation for Healthcare in COVID-19: Pandemic Strategies and Solutions
Projects: Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data
Bibliographic citation: KALINA, Jan. Pandemic-Driven Innovations Contribute to the Development of Information-Based Medicine. In: ORDÓÑEZ DE PABLOS, P., TAI CHUI, K., LYTRAS, M. D., eds. Digital Innovation for Healthcare in COVID-19: Pandemic Strategies and Solutions. London: Elsevier, 2022, S. 245-262. ISBN 978-0-12-821318-6
Dostupné z: doi:10.1016/B978-0-12-821318-6.00019-0.
DOI: 10.1016/B978-0-12-821318-6.00019-0
ID: 558148
Online record: View online record

Abstract

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.