Beyond translation: a patient-centered research agenda for artificial intelligence interpreter services in healthcare

Here are 6 key points from the provided article, presented in an unordered list:

– The application of AI in healthcare, particularly for interpreter services, has grown rapidly but is not well supported by evaluation research, especially regarding patient perspectives and experiences.

– AI-driven language tools show promise for aiding communication but require thorough assessment across languages and cultural contexts to avoid increasing disparities.

– Despite the increase in AI-related healthcare research, studies that investigate patient perspectives and experiences with AI-powered interpreter services remain exceedingly rare.

– Evidence suggests that certified medical interpreters significantly improve communication accuracy, reduce errors, and enhance shared decision-making, highlighting risks when unvalidated AI technologies are used in place of human interpreters.

– A robust, patient-centered research agenda is needed to guide the adoption of AI interpreter services, examining accuracy, patient perception, and feasibility to ensure equitable and effective implementation.

– Successful implementation of AI interpreter systems will require participatory design, continuous error monitoring, equity-focused implementation science, and governance frameworks to mitigate algorithmic risks.