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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2025
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| _version_ | 1849927629053886464 |
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| author | Patrick Kaggwa (13767476) |
| author2 | Juliet Nabbuye Sekandi (14559414) Mcdonald Kerone Adenike (22683316) Peter Nabende (22683319) Sarah Nabukeera (9969360) Kenneth Kidonge Katende (13767467) Esther Buregyeya (303179) Nazarius Mbona Tumwesigye (8748447) |
| author2_role | author author author author author author author |
| author_facet | Patrick Kaggwa (13767476) Juliet Nabbuye Sekandi (14559414) Mcdonald Kerone Adenike (22683316) Peter Nabende (22683319) Sarah Nabukeera (9969360) Kenneth Kidonge Katende (13767467) Esther Buregyeya (303179) Nazarius Mbona Tumwesigye (8748447) |
| author_role | author |
| dc.creator.none.fl_str_mv | Patrick Kaggwa (13767476) Juliet Nabbuye Sekandi (14559414) Mcdonald Kerone Adenike (22683316) Peter Nabende (22683319) Sarah Nabukeera (9969360) Kenneth Kidonge Katende (13767467) Esther Buregyeya (303179) Nazarius Mbona Tumwesigye (8748447) |
| dc.date.none.fl_str_mv | 2025-11-25T18:26:43Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0337691.t001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Characteristics_of_participants_/30713569 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 |
| dc.title.none.fl_str_mv | Characteristics of participants. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <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 perceptions and attitudes of healthcare workers towards using facial recognition technology in a healthcare setting in Uganda.</p><p>Methods</p><p>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 perceptions and attitudes. The interviews were audio recorded and transcribed verbatim. Data obtained from Key Informant Interviews were manually analyzed using thematic content analysis.</p><p>Results</p><p>Overall, the healthcare workers perceived digital facial recognition as a more effective and acceptable way to identify patients who receive service at outpatient clinics. Four themes emerged, including: i) Challenges affecting current patient identification standards, ii) Healthcare workers’ views on facial recognition, iii) Perceived digital facial recognition implementation challenges, and iv) Solutions to challenges of digital facial recognition. The healthcare workers recommended ensuring the protection patients’ images privacy, providing adequate technological infrastructure in clinics, and securing stable internet access for the successful implementation of digital facial recognition.</p><p>Conclusion</p><p>Our exploratory study indicates that overall, healthcare workers have a positive perception of the digital facial recognition application. However, it is crucial to acknowledge and address concerns regarding confidentiality and privacy to pave the way for the future implementation of the system.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_1eb68a2cc053d6264590844c66eb8a74 |
| identifier_str_mv | 10.1371/journal.pone.0337691.t001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30713569 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Characteristics of participants.Patrick Kaggwa (13767476)Juliet Nabbuye Sekandi (14559414)Mcdonald Kerone Adenike (22683316)Peter Nabende (22683319)Sarah Nabukeera (9969360)Kenneth Kidonge Katende (13767467)Esther Buregyeya (303179)Nazarius Mbona Tumwesigye (8748447)NeuroscienceScience PolicyMental Healthtrained interviewer providedtraditional identification methodspilot study exploresleast one yearfour themes emergedexploratory study indicatesended interview guidefacial recognition applicationdigital facial recognitionhealthcare workers towards10 healthcare workerskey informant interviewsincluding five doctorsxlink "> overallfacial recognitionhealthcare workersxlink ">five nurseshealthcare systemshealthcare settingtranscribed verbatimsuccessful implementationreceive servicepromising alternativeprofessional experiencepositive perceptionoften challengingincome countriesidentify patientshealth settingfuture implementationelicit responsesdata obtainedbrief overviewaudio recorded39 years<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 perceptions and attitudes of healthcare workers towards using facial recognition technology in a healthcare setting in Uganda.</p><p>Methods</p><p>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 perceptions and attitudes. The interviews were audio recorded and transcribed verbatim. Data obtained from Key Informant Interviews were manually analyzed using thematic content analysis.</p><p>Results</p><p>Overall, the healthcare workers perceived digital facial recognition as a more effective and acceptable way to identify patients who receive service at outpatient clinics. Four themes emerged, including: i) Challenges affecting current patient identification standards, ii) Healthcare workers’ views on facial recognition, iii) Perceived digital facial recognition implementation challenges, and iv) Solutions to challenges of digital facial recognition. The healthcare workers recommended ensuring the protection patients’ images privacy, providing adequate technological infrastructure in clinics, and securing stable internet access for the successful implementation of digital facial recognition.</p><p>Conclusion</p><p>Our exploratory study indicates that overall, healthcare workers have a positive perception of the digital facial recognition application. However, it is crucial to acknowledge and address concerns regarding confidentiality and privacy to pave the way for the future implementation of the system.</p></div>2025-11-25T18:26:43ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0337691.t001https://figshare.com/articles/dataset/Characteristics_of_participants_/30713569CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307135692025-11-25T18:26:43Z |
| spellingShingle | Characteristics of participants. Patrick Kaggwa (13767476) 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 |
| status_str | publishedVersion |
| title | Characteristics of participants. |
| title_full | Characteristics of participants. |
| title_fullStr | Characteristics of participants. |
| title_full_unstemmed | Characteristics of participants. |
| title_short | Characteristics of participants. |
| title_sort | Characteristics of participants. |
| topic | 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 |