JAMIA

JAMIA Open 2024 Implicit bias perpetuates health care inequities and manifests in patient–provider interactions, particularly nonverbal social cues like dominance. We investigated the use of artificial intelligence (AI) for automated communication assessment and feedback during primary care visits to raise clinician awareness of bias in patient interactions.

JAMIA Open 2024 This study evaluates an AI system that provides automated feedback on social communication during primary care visits. By analyzing real clinical conversations, the system detects social signals and offers targeted feedback to clinicians. Results show that the feedback is technically reliable, usable, and has the potential to improve communication skills and patient care.