To assess the acceptability, usability, trust, and satisfaction of the INCISIVE AI toolbox (a tool to diagnose and facilitate decisions in cancer care) and to understand implementation challenges and opportunities.

The user experience of the INCISIVE toolbox was evaluated based on 1,205 cases through a mixed-methods approach. The clinical team consisted of 24 healthcare professionals from 5 countries. Standardized tools were administered to assess the usability, acceptance, explanation, satisfaction, and trust of the INCISIVE toolbox. Face-to-face interviews were conducted to explore the secondary objectives of the study.

The overall system usability was evaluated as moderate, with positive user experience and satisfaction. System usefulness and information quality were perceived as moderate, and healthcare professionals (HCPs) also believed INCISIVE enhanced their job performance. Satisfaction with the clarity of the system’s outputs was perceived as moderate. Overall, trust in the system remained stable throughout the study. Qualitative analysis revealed that the INCISIVE toolbox provides numerous benefits, such as reduced workload for HCPs, improved diagnostic accuracy, and enhanced patient trust.

Results demonstrated the comprehensive usability of the INCISIVE AI toolbox. This developed prototype needs to undergo further refinement before being fully deployed in a clinical setting, to achieve improved accuracy and gain the trust of HCPs and the public.

Nurses who are directly involved in oncology care, diagnostic coordination, or patient education can leverage AI-generated data such as the ones provided by INCISIVE to improve clinical decision-making and personalize patient care.