Study Identifies Generative AI Health Adoption Predictors
Researchers conducted a representative online survey in September 2024 of 1,990 adults across Austria, Denmark, France, and Serbia to assess generative AI use for health information and predictors of adoption. Only 39.5% reported any use; performance expectancy, habit, and hedonic motivation consistently predicted intention, while effort expectancy, social influence, and health literacy/status were mostly unrelated. Findings suggest targeted communication and improved access to promote equitable adoption.
Key Points
- 1Reports limited generative AI health use: 39.5% used at least rarely across four European countries.
- 2Identifies performance expectancy, habit, hedonic motivation as consistent predictors of intention across countries.
- 3Suggests practitioners emphasize usefulness, convenience, enjoyment and ensure digital access to promote equitable adoption.
Scoring Rationale
Strong empirical cross-national survey evidence drives score, with limited scope to health information contexts only.
Sources
Public references used for this report.
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