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1 – 2 of 2A. Subaveerapandiyan, Dalitso Mvula, Naved Ahmad, Amreen Taj and Mohammed Gulzar Ahmed
This study aims to assess AI literacy and attitudes among medical students and explore their implications for integrating AI into healthcare practice.
Abstract
Purpose
This study aims to assess AI literacy and attitudes among medical students and explore their implications for integrating AI into healthcare practice.
Design/methodology/approach
A quantitative research design was employed to comprehensively evaluate AI literacy and attitudes among 374 Lusaka Apex Medical University medical students. Data were collected from April 3, 2024, to April 30, 2024, using a closed-ended questionnaire. The questionnaire covered various aspects of AI literacy, perceived benefits of AI in healthcare, strategies for staying informed about AI, relevant AI applications for future practice, concerns related to AI algorithm training and AI-based chatbots in healthcare.
Findings
The study revealed varying levels of AI literacy among medical students with a basic understanding of AI principles. Perceptions regarding AI’s role in healthcare varied, with recognition of key benefits such as improved diagnosis accuracy and enhanced treatment planning. Students relied predominantly on online resources to stay informed about AI. Concerns included bias reinforcement, data privacy and over-reliance on technology.
Originality/value
This study contributes original insights into medical students' AI literacy and attitudes, highlighting the need for targeted educational interventions and ethical considerations in AI integration within medical education and practice.
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Keywords
Julie Davies, Thamina Anjuman, Zeyad Al Ghamdi, Saud Altamimi, Sheikh Mateen Ellahi, Moza Al Thani, Frank Huang, Yara Alsoqair and Rawan Alshehri
This narrative literature review examines intersectional employee voice inequalities in a non-Western, high power distance context to develop a multilevel conceptual framework.
Abstract
Purpose
This narrative literature review examines intersectional employee voice inequalities in a non-Western, high power distance context to develop a multilevel conceptual framework.
Design/methodology/approach
The authors use Leininger's (1997, 2002) culture care model to explore multilevel influences on intersectional voice inequalities. The article applies insights from a review of 31 studies to the specific challenges of migrant palliative care (PC) nurses in Saudi Arabia.
Findings
The themes identified in the review indicate how better transcultural communications might mitigate voice inequalities that influence migrant employee wellbeing and intentions to quit which result from cultural incongruities.
Originality/value
The impact of national culture differences and intersectional inequalities on employee voice has largely been ignored in academic research. This paper offers unique insights drawing on culture care theory into intersectional voice challenges from a non-Western perspective in the underresearched setting of Saudi Arabia which is mid-way through a national transformation program. It starkly contrasts policy ambitions for advancing healthcare with discriminatory practices based on conservative attitudes which stifle migrant worker voices.
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