Ethics, Integrity, and Retributions of Digital Detection Surveillance Systems for Infectious Diseases: Systematic Literature Review.

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.

Preparing genomic revolution: Attitudes, clinical practice, and training needs in delivering genetic counseling in primary care in Hong Kong and Shenzhen, China.

PURPOSE: The aim was to evaluate knowledge, attitudes, and clinical practice concerning medical genetics, genetic testing, and counseling among primary care physicians (PCPs) in Hong Kong and Shenzhen, China. METHODS: The University of Hong Kong (HKU), HKU-Shenzhen Hospital, and Shenzhen Health Capacity Building and Continuing Education Center invited PCPs from Hong Kong and Shenzhen to participate in an online survey. RESULTS: The survey was completed by 151 PCPs and 258 PCPs from Hong Kong and Shenzhen, respectively. The majority agreed it was important to keep current with genetics (91%) and that personalized medicine was the future of healthcare (86%), yet only 10% reported that they had postgraduate training in genomic medicine. Seventeen percent of Hong Kong and 40% of Shenzhen's PCPs encountered genetic-related cases in the past 6 months, and they identified insufficient knowledge, few training opportunities, and self-rated low confidence in their skillsets as main barriers. CONCLUSIONS: Our survey shows that Hong Kong and Shenzhen's PCPs are not yet fully utilizing potential benefits of genomic medicine in their clinical practice, which could be addressed with a combination of easily accessible educational resources, clear referral pathways and guidelines on genetic diseases, and cross-specialty collaboration between healthcare systems and professional bodies.