Pilot testing and evaluation of the CuMP-IA Questionnaire to measure AI integration in precision medicine
Keywords:
Artificial intelligence, Precision medicine, Pilot testing, Healthcare professionals, Measurement instrumentsAbstract
The growing advancement of Artificial Intelligence (AI) in precision medicine has increased the need for valid and reliable instruments that allow researchers to understand how health professionals perceive its integration into clinical practice. For this purpose, a pilot study of the Questionnaire on AI-Based Precision Medicine in Clinical Practice (CuMP-IA) was conducted to evaluate its preliminary applicability and estimate initial indicators of internal consistency. The sample consisted of 42 physicians with teaching experience, who completed the instrument in a virtual format. The pilot study allowed for the examination of item clarity, score behavior, and the reliability of both the overall instrument and its dimensions. The results show an excellent level of global internal consistency (α = 0.925) and two subscales with very high reliability (α ≥ 0.90), supporting their conceptual robustness. However, the remaining dimensions yielded values ranging from low to moderately acceptable (α ≤ 0.689), indicating the need for adjustments before applying the instrument to larger samples.
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