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Designing Digital COVID-19 Screening: Insights and Deliberations.
Yoo, Soojeong; Gulbransen-Diaz, Natalia; Parker, Callum; Wang, Audrey P.
  • Yoo S; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London W1W 7TY, UK.
  • Gulbransen-Diaz N; School of Architecture, Planning and Design, The University of Sydney, Sydney, NSW 2006, Australia.
  • Parker C; School of Architecture, Planning and Design, The University of Sydney, Sydney, NSW 2006, Australia.
  • Wang AP; Biomedical Informatics and Digital Health, School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
Int J Environ Res Public Health ; 20(5)2023 02 22.
Article in English | MEDLINE | ID: covidwho-2287936
ABSTRACT
Due to the global COVID-19 pandemic, public health control and screening measures have been introduced at healthcare facilities, including those housing our most vulnerable populations. These warning measures situated at hospital entrances are presently labour-intensive, requiring additional staff to conduct manual temperature checks and risk-assessment questionnaires of every individual entering the premises. To make this process more efficient, we present eGate, a digital COVID-19 health-screening smart Internet of Things system deployed at multiple entry points around a children's hospital. This paper reports on design insights based on the experiences of concierge screening staff stationed alongside the eGate system. Our work contributes towards social-technical deliberations on how to improve design and deploy of digital health-screening systems in hospitals. It specifically outlines a series of design recommendations for future health screening interventions, key considerations relevant to digital screening control systems and their implementation, and the plausible effects on the staff who work alongside them.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Internet of Things / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research Limits: Child / Humans Language: English Year: 2023 Document Type: Article Affiliation country: Ijerph20053899

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Internet of Things / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research Limits: Child / Humans Language: English Year: 2023 Document Type: Article Affiliation country: Ijerph20053899