Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96136
PIRA download icon_1.1View/Download Full Text
Title: Ethics, integrity, and retributions of digital detection surveillance systems for infectious diseases : systematic literature review
Authors: Zhao, IY 
Ma, YX
Yu, MWC
Liu, J
Dong, WN
Pang, Q
Lu, XQ
Molassiotis, A 
Holroyd, E
Wong, CWW
Issue Date: Oct-2021
Source: Journal of medical Internet research, Oct. 2021, v. 23, no. 10, e32328
Abstract: Background: 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.
Objective: 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.
Methods: 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.
Results: 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.
Conclusions: 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.
Trial Registration: PROSPERO CRD42021259180; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259180
Keywords: Artificial intelligence
Electronic medical records
Ethics
Infectious diseases
Machine learning
Publisher: JMIR Publications, Inc.
Journal: Journal of medical Internet research 
ISSN: 1439-4456
EISSN: 1438-8871
DOI: 10.2196/32328
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.
The 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.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Zhao_Ethics_Integrity_Retributions.pdf198.68 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

73
Last Week
0
Last month
Citations as of Sep 22, 2024

Downloads

60
Citations as of Sep 22, 2024

SCOPUSTM   
Citations

15
Citations as of Sep 26, 2024

WEB OF SCIENCETM
Citations

9
Citations as of Sep 26, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.