Spotlighting healthcare frontline workers´ perceptions on artificial intelligence across the globe

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.