This study focuses on the usability and acceptance of the OrthoSens SensApp, a clinician-facing mobile application designed to support postoperative monitoring based on smart implant data.

A mixed-methods usability evaluation was conducted with orthopedic surgeons and physiotherapists. The study combined task-based usability testing using a think-aloud approach with questionnaires based on the Technology Acceptance Model and qualitative analysis of participant feedback. The evaluation examined how clinicians interpreted the displayed data, their interactions with the interface, and the extent to which the application aligned with their daily work.

The findings show that clinicians value access to recovery information between surgery and follow-up appointments, particularly when data are presented in a longitudinal and structured way. At the same time, difficulties emerged when measurements lacked context or were presented without clear reference points. Concerns related to information overload, unclear terminology, and integration into existing workflows influenced how the application was perceived.The results suggest that the adoption of smart implant–connected applications depends less on the amount of available data and more on clarity, interpretability, and workflow fit. The insights gained from this study inform the further development of the OrthoSens SensApp and highlight design considerations for integrating smart implant data into clinicians’ orthopedic workflows.