Public health practice and artificial intelligence: views of future professionals.
Background: Globally, artificial intelligence (AI) is expanding in healthcare and public health and AI education for students in these fields will be essential. It is therefore important that future public health professionals are aware of opportunities and challenges linked to AI. Aim: The aim of t...
| Publicado en: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 33; no. 7; pp. 1481 - 1490 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jul2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=186105065&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 186105065 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 21981833 NENI jtl: Journal of Public Health: From Theory to Practice (2198-1833) issn: 21981833 maglogo: N pubinfo: dt: Jul2025 vid: 33 iid: 7 pid: 237 pub: Springer Nature artinfo: ui: 186105065 10.1007/s10389-023-02127-5 ppf: 1481 ppct: 9 formats: tig: atl: Public health practice and artificial intelligence: views of future professionals. aug: au: Mwase, Nandi S. Patrick, Sean M. Wolvaardt, Jacqueline Van Wyk, Mari Junger, Washington Wichmann, Janine affil: https://ror.org/00g0p6g84 School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa https://ror.org/00g0p6g84 Comprehensive Online Education Services, University of Pretoria, Pretoria, South Africa https://ror.org/0198v2949 State University of Rio de Janeiro, Rio de Janeiro, Brazil su: South Africa Cross-sectional method Health services accessibility Artificial intelligence Universities & colleges Content analysis Population health Allied health personnel Students Public health Student attitudes Prevention of epidemics Descriptive statistics Chi-squared test Thematic analysis Data analysis software Quality assurance sug: subj: Cross-sectional method Health services accessibility Artificial intelligence Universities & colleges Content analysis Population health Allied health personnel Students Public health Student attitudes South Africa Health and Welfare Funds Colleges, Universities, and Professional Schools Prevention of epidemics Descriptive statistics Chi-squared test Thematic analysis Data analysis software Quality assurance keyword: Cross sectional survey Medical and Health Sciences Public Health and Health Services Postgraduate Cross sectional survey Medical and Health Sciences Public Health and Health Services Postgraduate ab: Background: Globally, artificial intelligence (AI) is expanding in healthcare and public health and AI education for students in these fields will be essential. It is therefore important that future public health professionals are aware of opportunities and challenges linked to AI. Aim: The aim of the study was to assess the perceptions and attitudes regarding AI among one such group of future public health professionals – Postgraduate Diploma in Public Health students – in South Africa. Methods: An online survey was sent to students enrolled for the Postgraduate Diploma in Public Health programme from 13 June 2022 to 17 June 2022. Results: Six hundred and eighteen respondents completed an online survey (81.5% response rate). Generally, respondents thought AI would be capable of performing various tasks that did not provide direct care to individuals. Most (69%) agreed that introduction of AI could reduce job availability in public health fields. Respondents agreed that AI in public health could raise ethical (84%), social (77%) and health equity (77%) challenges. Relatively few respondents (52%) thought they were being adequately trained to work alongside AI tools, and the majority (76%) felt training of AI competencies should begin at an undergraduate level. Conclusion: Respondents expect AI to eventually carry out specific functions in public health and had reservations that AI may cause ethical challenges and increase unemployment in the country. Further exploration is needed regarding the perceptions about AI and its integration into the health system and the implications for undergraduate and postgraduate curricula. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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