Survey of 240 health workers finds AI use tied to better job performance

The link ran through two routes: AI adoption was associated with more innovative work behavior and with skills enhancement, and both were in turn associated with better performance. The authors tested this mediation model with structural equation modeling in SmartPLS.

The work was done in a developing context with technological and resource constraints, and the authors say user perceptions and skill development matter for successful AI implementation.

The study asked whether AI adoption genuinely improves employee performance in healthcare organizations or whether its effects are overstated, a question the authors say has been underexamined in healthcare, especially in resource-constrained settings.

Data came from a structured questionnaire completed by 240 healthcare professionals. Stratified random sampling aimed at equitable representation across four groups: medical directors, heads of departments, attending physicians and fellows.

Analysis with SmartPLS structural equation modeling found that innovative work behavior and skills enhancement mediated the relationship between AI adoption and performance. The authors frame the work with socio-technical systems theory and resource-based view theory, and conclude that user perceptions and skill development are central to implementing AI successfully.