AI transforming Healthcare Management during Covid-19 pandemic

Efthymiou, Iris-Panagiota; Sidiropoulos, Symeon; Kritas, Dimitrios; Rapti, Paraskevi; Vozikis, Athanassios; Souliotis, Kyriakos

[journal article]

dc.contributor.author	Efthymiou, Iris-Panagiota	de
dc.contributor.author	Sidiropoulos, Symeon	de
dc.contributor.author	Kritas, Dimitrios	de
dc.contributor.author	Rapti, Paraskevi	de
dc.contributor.author	Vozikis, Athanassios	de
dc.contributor.author	Souliotis, Kyriakos	de
dc.date.accessioned	2021-03-31T12:27:19Z
dc.date.available	2021-03-31T12:27:19Z
dc.date.issued	2020	de
dc.identifier.issn	2732-6578	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/72209
dc.description.abstract	The dawn of artificial intelligence (AI) as a platform for improved health care provides unparalleled opportunity to enhance patient and clinical team performance, minimize costs, and reduce the health effects of the community. It provides a broad description of the legal and legislative context of the AI tools intended for the implementation of health care; highlights the need for equality, accessibility, the need for a human rights goal for the work; and identifies important factors for further advancement. AI framework describes the obstacles, drawbacks, and best practices for AI development, adoption, and management. It brings in a paradigm shift to healthcare, driven by rising clinical data access and rapid advancement in analytical techniques. Artificial Intelligence (AI) is going to revolutionize the practice of medicine and change the delivery of healthcare. This paper discusses the role of artificial intelligence in the advancement of health care and associated fields. It also discusses, the value of artificial intelligence in various healthcare sectors' transformation.	de
dc.language	en	de
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.subject.ddc	Naturwissenschaften	de
dc.subject.ddc	Science	en
dc.subject.other	artificial intelligence (AI); Developing AI research; Healthcare safety; healthcare; Urban Health Data; COVID-19 pandemic; Future of AI; d health information management (HIM)	de
dc.title	AI transforming Healthcare Management during Covid-19 pandemic	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	HAPSc Policy Briefs Series
dc.source.volume	1	de
dc.publisher.country	MISC
dc.source.issue	1	de
dc.subject.classoz	Gesundheitspolitik	de
dc.subject.classoz	Health Policy	en
dc.subject.classoz	Naturwissenschaften, Technik(wissenschaften), angewandte Wissenschaften	de
dc.subject.classoz	Natural Science and Engineering, Applied Sciences	en
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
dc.rights.licence	Creative Commons - Attribution 4.0	en
internal.status	formal und inhaltlich fertig erschlossen	de
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	130-138	de
internal.identifier.classoz	11006
internal.identifier.classoz	50200
internal.identifier.journal	1956
internal.identifier.document	32
internal.identifier.ddc	300
internal.identifier.ddc	500
dc.identifier.doi	https://doi.org/10.12681/hapscpbs.24958	de
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	16
internal.identifier.pubstatus	1
internal.identifier.review	1
dc.subject.classhort	50100	de
internal.pdf.wellformed	true
internal.pdf.encrypted	false
ssoar.urn.registration	false	de

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Gesundheitspolitik
Health Policy
Naturwissenschaften, Technik(wissenschaften), angewandte Wissenschaften
Natural Science and Engineering, Applied Sciences

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