Applying human factors to AI development for medical devices in healthcare could be helpful in improving usability and efficiency, enhancing safety, and reducing use error. This in turn will facilitate its integration into clinical workflows, increasing user acceptance and trust in the technology, whilst addressing diverse user needs. It is crucial for ensuring that these technologies are effective, safe, and user-friendly.
Applying usability engineering methods and human factors principles to the development of AI systems for medical devices and diagnostics can help ensure these devices are not only functional but also user-centred. This will improve their adoption and success in real-world clinical settings leading to greater benefits, smoother integration, enhanced user experience and ultimately better patient outcomes.