Spotlighting healthcare frontline workers´ perceptions on artificial intelligence across the globe
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View abstract on PubMed
Summary
This summary is machine-generated.Healthcare workers in low- and middle-income countries show enthusiasm for generative artificial intelligence (AI) integration. However, cultural, linguistic, and ethical challenges require careful consideration for successful AI implementation in healthcare.
Area Of Science
- Health Informatics
- Artificial Intelligence in Medicine
- Global Health
Background
- Generative artificial intelligence (AI) is increasingly being explored for healthcare delivery.
- Understanding healthcare workers' (HCWs) perspectives is crucial for successful AI integration.
- Limited data exists on AI adoption in low- and middle-income countries (LMICs).
Purpose Of The Study
- To assess HCW views on integrating generative AI into healthcare.
- To explore challenges, opportunities, and ethical considerations of AI in LMICs.
Main Methods
- Mixed-methods, cross-sectional survey of frontline HCWs across eight countries.
- Analysis of data from Gates Foundation AI Grand Challenges projects (2023).
- Perception ratings using a three-point Likert scale (sceptical, practical, enthusiastic).
Main Results
- A majority of HCWs (75.4%) expressed enthusiasm for AI, with 21.6% practical and 3.0% sceptical.
- Excellent inter-rater reliability (ICC=0.93) confirmed the robustness of the findings.
- Qualitative data highlighted significant cultural, linguistic barriers, and ethical concerns.
Conclusions
- Generative AI shows transformative potential in LMIC healthcare settings.
- Positive HCW attitudes are evident, but contextual adaptation and policy are essential.
- Addressing cultural and ethical issues is critical for effective AI implementation.
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