A cross-sectional study at a Turkish university hospital utilized the MAIRS-MS and OTOC scales to quantitatively assess 195 healthcare professionals’ readiness for medical AI and their openness to organizational change, revealing significant positive attitudes and demographic patterns in AI adoption readiness.
Key points
- Validated the four‐factor MAIRS-MS scale (cognitive, ability, vision, ethical) for measuring medical AI readiness among 195 hospital staff.
- Applied EFA and CFA to confirm construct validity, achieving RMSEA=0.087 and CFI=0.96 for MAIRS-MS and RMSEA=0.00 and CFI=1.00 for OTOC.
- Used SEM to model relationships, finding a low but significant positive correlation (r=0.236) between AI readiness and openness to organizational change.
Why it matters: This study demonstrates that targeted training and change management can leverage healthcare workers’ positive AI readiness to accelerate safe and effective AI integration in clinical practice.
Q&A
- What is the MAIRS-MS scale?
- How does the OTOC scale measure openness to change?
- Why use EFA, CFA, and SEM in this survey?
- What demographic factors influenced AI readiness?
