Perceptions and attitudes of healthcare workers towards the use of digital facial recognition application in a health setting in Uganda: An exploratory pilot study
Patrick Kaggwa, Juliet Nabbuye Sekandi, Mcdonald Kerone Adenike, Peter Nabende, Sarah Nabukeera, Kenneth Kidonge Katende, Esther Buregyeya, Nazarius Mbona Tumwesigye

TL;DR
This study explores healthcare workers' views on using facial recognition in Uganda, finding general support but highlighting privacy and infrastructure concerns.
Contribution
The study provides novel insights into healthcare workers' perceptions of facial recognition in a low-income country context.
Findings
Healthcare workers perceive digital facial recognition as more effective for patient identification.
Privacy protection and infrastructure are identified as critical for successful implementation.
Positive attitudes are tempered by concerns about confidentiality and technological barriers.
Abstract
Unique patient identification is often challenging in healthcare systems, especially in low- and middle-income countries. Digital facial recognition is a promising alternative to traditional identification methods. This pilot study explores the perceptions and attitudes of healthcare workers towards using facial recognition technology in a healthcare setting in Uganda. We conducted an explorative qualitative study using key informant interviews with healthcare workers in Kampala, Uganda, to assess perceptions and attitudes towards digital facial recognition. We interviewed a total of 10 healthcare workers, including five doctors and five nurses, aged 20–39 years, with at least one year of professional experience. A trained interviewer provided a brief overview and demonstration of the facial recognition application and then used an open-ended interview guide to elicit responses about…
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Taxonomy
TopicsMobile Health and mHealth Applications · Artificial Intelligence in Healthcare and Education · Telemedicine and Telehealth Implementation
