Poorly designed interfaces in healthcare AI tools are causing usability problems, making clinicians' jobs harder, embedding bias into patient care, and eroding trust in technology.
Many clinical AI models remain unused or underused due to integration issues and poor user interface design, according to a 2022 study published in JAMA Network Open.
Bad user experience turns AI tools into liabilities by overwhelming users with alerts, not fitting workflows, and lacking explanations for outcomes, leading to more time spent on interfaces rather than with patients.
Inclusive design is crucial to ensure AI tools are interpretable and enable informed judgments, as tools that are not utilized or misused do not benefit anyone.