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dc.contributor.authorChatterjee, Ayan
dc.contributor.authorPrinz, Andreas
dc.contributor.authorRiegler, Michael
dc.contributor.authorDas, Jishnu
dc.date.accessioned2023-12-19T08:50:07Z
dc.date.available2023-12-19T08:50:07Z
dc.date.created2023-10-26T09:44:06Z
dc.date.issued2023
dc.identifier.citationChatterjee, A., Prinz, A., Riegler, M. & Das, J. (2023). A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care. BMC Health Services Research, 23 (1).en_US
dc.identifier.issn1472-6963
dc.identifier.urihttps://hdl.handle.net/11250/3108117
dc.description.abstracte-Health has played a crucial role during the COVID-19 pandemic in primary health care. e-Health is the cost-effective and secure use of Information and Communication Technologies (ICTs) to support health and health-related fields. Various stakeholders worldwide use ICTs, including individuals, non-profit organizations, health practitioners, and governments. As a result of the COVID-19 pandemic, ICT has improved the quality of healthcare, the exchange of information, training of healthcare professionals and patients, and facilitated the relationship between patients and healthcare providers. This study systematically reviews the literature on ICT-based automatic and remote monitoring methods, as well as different ICT techniques used in the care of COVID-19-infected patients.The purpose of this systematic literature review is to identify the e-Health methods, associated ICTs, method implementation strategies, information collection techniques, advantages, and disadvantages of remote and automatic patient monitoring and care in COVID-19 pandemic. The search included primary studies that were published between January 2020 and June 2022 in scientific and electronic databases, such as EBSCOhost, Scopus, ACM, Nature, SpringerLink, IEEE Xplore, MEDLINE, Google Scholar, JMIR, Web of Science, Science Direct, and PubMed. In this review, the findings from the included publications are presented and elaborated according to the identified research questions. Evidence-based systematic reviews and meta-analyses were conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Additionally, we improved the review process using the Rayyan tool and the Scale for the Assessment of Narrative Review Articles (SANRA). Among the eligibility criteria were methodological rigor, conceptual clarity, and useful implementation of ICTs in e-Health for remote and automatic monitoring of COVID-19 patients.en_US
dc.language.isoengen_US
dc.publisherBioMed Central (BMC)en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and careen_US
dc.title.alternativeA systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and careen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Author(s)en_US
dc.subject.nsiVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801en_US
dc.source.pagenumber17en_US
dc.source.volume23en_US
dc.source.journalBMC Health Services Researchen_US
dc.source.issue1en_US
dc.identifier.doihttps://doi.org/10.1186/s12913-023-10047-z
dc.identifier.cristin2188636
cristin.qualitycode2


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