To assess the level of declared knowledge and perception of AI among SOT patients and healthcare professionals.
Approach:
Study Design: A cross-sectional study was conducted in France among SOT patients and healthcare professionals.
Data Collection: Data were collected using a web-based questionnaire including open-ended and closed items addressing sociodemographic characteristics, declared knowledge, and perception of AI.
Analysis Methods: Thematic coding was used for qualitative data, regression models for association analyses, and reliability testing was assessed.
Key Findings:
218 patients and 92 healthcare professionals participated. Patients reported low AI declared knowledge (mean 2.4/10), while healthcare professionals reported slightly higher levels (3.8/10).
140 patients had heard of AI in healthcare, but very few were aware of its use in SOT (n = 20).
Most healthcare professionals were familiar with AI in healthcare (n = 71), but declared knowledge of AI applications in SOT remained limited (n = 39).
Both groups expressed positive perceptions of AI in SOT, with concerns mainly related to dehumanization of care and potential errors.
Interpretation:
Declared knowledge was associated with perceptions of AI, highlighting the importance of targeted educational interventions to promote informed integration of AI in SOT.
Limitations:
The study is limited to a specific geographical area (France) and may not be generalizable to other regions.
The sample size, while adequate, may not fully represent the diverse perspectives of all SOT patients and healthcare professionals.
Conclusion:
This exploratory study provides insights into potential facilitators and barriers to the adoption of AI in SOT, guiding implementation strategies and policy development.
