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Unravelling Orthopaedic Surgeons' Perceptions and Adoption of Generative AI Technologies
Matthias Schmidt1, Yasmin B Kafai2, Adrian Heinze3
1AO Foundation, AO Education Institute, Davos, Switzerland.
Journal of CME
|December 12, 2024
Summary
Generative artificial intelligence (AI) adoption varies among orthopaedic surgeons, with higher use in research than patient care. Tailored training and evidence are crucial for broader integration.
Area of Science:
- Medical Informatics
- Orthopaedic Surgery
- Artificial Intelligence
Background:
- Generative artificial intelligence (AI) presents transformative potential in healthcare.
- Understanding AI adoption barriers and facilitators in specialized surgical fields is critical.
Purpose of the Study:
- To investigate the adoption of generative AI among orthopaedic surgeons.
- To identify factors influencing AI use in orthopaedic surgery practice.
Main Methods:
- Mixed-methods approach combining a survey (n=177) based on the Unified Theory of Acceptance and Use of Technology (UTAUT).
- Follow-up interviews (n=7) to gather qualitative insights.
Main Results:
- Varied AI familiarity and usage patterns observed, with higher adoption in research and professional development versus direct patient care.
- A significant generational divide in perceived ease of use necessitates tailored training.
- Barriers include need for evidence-based support and concerns over critical thinking skills.
Conclusions:
- AI adoption in orthopaedic surgery is influenced by a complex interplay of individual, technological, and organizational factors.
- A nuanced integration strategy is required, considering surgical specifics and surgeon career stages.
- Findings offer insights for educational and healthcare organizations managing AI adoption in specialized medicine.
