AI and Remote Video Interpretation Enhance Surgical Care for Spanish-Speaking Patients

Language barriers in U.S. Surgical care significantly contribute to inequities, particularly for Spanish-speaking patients who often face communication challenges and inconsistent access to interpreters. Recent research highlights how emerging interpreter technologies – artificial intelligence (AI)-based interpretation and remote video interpretation (RVI) – can address these disparities, with patient preferences playing a crucial role in successful implementation.

Patient Preferences Drive Interpreter Choice

A study published in NEJM Catalyst investigated how Spanish-speaking surgical patients perceive AI and RVI, and how these modalities could best be integrated into clinical practice. Researchers at Brigham and Women’s Hospital conducted a mixed-methods study involving 23 adult Spanish-speaking surgical patients.

The study revealed that patients didn’t view AI and RVI as substitutes for each other. Instead, their preferences were highly dependent on the situation. AI-based interpretation was favored for its speed, convenience, privacy, and direct communication, especially in routine, time-sensitive, or low-emotional-intensity scenarios. Conversely, RVI was preferred for emotionally sensitive, complex, or high-stakes conversations due to its perceived empathy, cultural nuance, and interpersonal connection.

Digital Literacy and Concerns About AI

The research also found that many patients with limited English proficiency demonstrated moderate digital literacy and openness to AI tools. However, concerns remained regarding AI’s ability to accurately capture dialects, emotional cues, and cultural context. RVI raised concerns about potential technical delays and the fidelity of message delivery.

A Hybrid Approach to Interpreter Services

the findings underscore the importance of patient trust, autonomy, and perceived control when choosing interpreter services. The study supports a patient-informed hybrid framework that combines AI-based and human interpreter services, tailored to the specific clinical context and individual patient preferences.

Key Takeaways

• Context Matters: Patient preference for AI or RVI depends heavily on the situation.
• AI for Efficiency: AI-based interpretation excels in routine, time-sensitive interactions.
• RVI for Sensitivity: Remote video interpretation is preferred for complex, emotionally charged conversations.
• Patient-Centered Approach: A hybrid model that prioritizes patient choice is crucial for equitable care.