Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96136
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dc.contributorSchool of Nursingen_US
dc.creatorZhao, IYen_US
dc.creatorMa, YXen_US
dc.creatorYu, MWCen_US
dc.creatorLiu, Jen_US
dc.creatorDong, WNen_US
dc.creatorPang, Qen_US
dc.creatorLu, XQen_US
dc.creatorMolassiotis, Aen_US
dc.creatorHolroyd, Een_US
dc.creatorWong, CWWen_US
dc.date.accessioned2022-11-07T05:29:10Z-
dc.date.available2022-11-07T05:29:10Z-
dc.identifier.issn1439-4456en_US
dc.identifier.urihttp://hdl.handle.net/10397/96136-
dc.language.isoenen_US
dc.publisherJMIR Publications, Inc.en_US
dc.rights©Ivy Y Zhao, Ye Xuan Ma, Man Wai Cecilia Yu, Jia Liu, Wei Nan Dong, Qin Pang, Xiao Qin Lu, Alex Molassiotis, Eleanor Holroyd, Chi Wai William Wong. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 20.10.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.en_US
dc.rightsThe following publication Zhao, I. Y., Ma, Y. X., Yu, M. W. C., Liu, J., Dong, W. N., Pang, Q., ... & Wong, C. W. W. (2021). Ethics, Integrity, and Retributions of Digital Detection Surveillance Systems for Infectious Diseases: Systematic Literature Review. Journal of medical Internet research, 23(10), e32328 is available at https://doi.org/10.2196/32328.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectElectronic medical recordsen_US
dc.subjectEthicsen_US
dc.subjectInfectious diseasesen_US
dc.subjectMachine learningen_US
dc.titleEthics, integrity, and retributions of digital detection surveillance systems for infectious diseases : systematic literature reviewen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spagee32328en_US
dc.identifier.volume23en_US
dc.identifier.issue10en_US
dc.identifier.doi10.2196/32328en_US
dcterms.abstractBackground: The COVID-19 pandemic has increased the importance of the deployment of digital detection surveillance systems to support early warning and monitoring of infectious diseases. These opportunities create a “double-edge sword,” as the ethical governance of such approaches often lags behind technological achievements.en_US
dcterms.abstractObjective: The aim was to investigate ethical issues identified from utilizing artificial intelligence–augmented surveillance or early warning systems to monitor and detect common or novel infectious disease outbreaks.en_US
dcterms.abstractMethods: In a number of databases, we searched relevant articles that addressed ethical issues of using artificial intelligence, digital surveillance systems, early warning systems, and/or big data analytics technology for detecting, monitoring, or tracing infectious diseases according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, and further identified and analyzed them with a theoretical framework.en_US
dcterms.abstractResults: This systematic review identified 29 articles presented in 6 major themes clustered under individual, organizational, and societal levels, including awareness of implementing digital surveillance, digital integrity, trust, privacy and confidentiality, civil rights, and governance. While these measures were understandable during a pandemic, the public had concerns about receiving inadequate information; unclear governance frameworks; and lack of privacy protection, data integrity, and autonomy when utilizing infectious disease digital surveillance. The barriers to engagement could widen existing health care disparities or digital divides by underrepresenting vulnerable and at-risk populations, and patients’ highly sensitive data, such as their movements and contacts, could be exposed to outside sources, impinging significantly upon basic human and civil rights.en_US
dcterms.abstractConclusions: Our findings inform ethical considerations for service delivery models for medical practitioners and policymakers involved in the use of digital surveillance for infectious disease spread, and provide a basis for a global governance structure.en_US
dcterms.abstractTrial Registration: PROSPERO CRD42021259180; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259180en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of medical Internet research, Oct. 2021, v. 23, no. 10, e32328en_US
dcterms.isPartOfJournal of medical Internet researchen_US
dcterms.issued2021-10-
dc.identifier.isiWOS:000717666100003-
dc.identifier.scopus2-s2.0-85117902136-
dc.identifier.pmid34543228-
dc.identifier.eissn1438-8871en_US
dc.description.validate202211 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Others-
dc.description.fundingSourceNot mentionen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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