Characteristics of participants.

<div><p>Background</p><p>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 percep...

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Bibliographic Details
Main Author:	Patrick Kaggwa (13767476) (author)
Other Authors:	Juliet Nabbuye Sekandi (14559414) (author), Mcdonald Kerone Adenike (22683316) (author), Peter Nabende (22683319) (author), Sarah Nabukeera (9969360) (author), Kenneth Kidonge Katende (13767467) (author), Esther Buregyeya (303179) (author), Nazarius Mbona Tumwesigye (8748447) (author)
Published:	2025
Subjects:	Neuroscience Science Policy Mental Health trained interviewer provided traditional identification methods pilot study explores least one year four themes emerged exploratory study indicates ended interview guide facial recognition application digital facial recognition healthcare workers towards 10 healthcare workers key informant interviews including five doctors xlink "> overall facial recognition healthcare workers xlink "> five nurses healthcare systems healthcare setting transcribed verbatim successful implementation receive service promising alternative professional experience positive perception often challenging income countries identify patients health setting future implementation elicit responses data obtained brief overview audio recorded 39 years
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Characteristics of participants.

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