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Pharmacists' propensity to trust automated technologies: A demographic analysis
Older and more experienced pharmacists show a higher propensity to trust artificial intelligence (AI). Early exposure to AI in pharmacy education may improve trust among younger professionals.
Area of Science:
- Pharmacy Practice
- Health Informatics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) and automation are increasingly used in pharmacies.
- Limited research exists on pharmacists' trust in AI.
- Understanding trust is crucial for successful AI adoption in pharmacy.
Purpose of the Study:
- To assess pharmacists' propensity to trust AI in automated technology.
- To identify factors influencing pharmacists' trust in AI.
Main Methods:
- Licensed pharmacists completed a demographics survey and the Propensity To Trust (PTT) survey.
- Participants rated agreement with AI statements on a 5-point Likert scale.
- Statistical analyses included Kruskal-Wallis tests and linear regressions.
Main Results:
- Ninety-nine pharmacists participated; median PTT score was 3.83.
- Pharmacist age was a significant predictor of trust (p < 0.001).
- Older pharmacists and those with 21+ years of experience had higher trust scores.
Conclusions:
- Age and experience positively correlate with pharmacists' propensity to trust AI.
- Integrating AI education early may enhance trust among younger pharmacists.
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