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

npj Digital Medicine 2026 Open access

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Authors: Olivia F. Lynch, Emily E. Witt, Alicia Fernandez, Jeslyn A. Rodriguez, María Alejandra Montoya Rubiano, Helen Burstin, Susan Sheridan, Maia Hightower, David W. Bates, Kevin B. Johnson, Regan W. Bergmark, Gezzer Ortega
DOI: 10.1038/s41746-026-02764-6
Cited by: 1
References: 20

Abstract

Artificial intelligence (AI) is rapidly reshaping medicine. From guiding diagnostic decisions to supporting patient-facing applications to generating clinical documentation, AI systems now influence multiple facets of healthcare delivery 1 , 2 , 3 . This expansion reflects the rapid maturation of machine-learning models and their integration into routine clinical workflows. Interpreter services are a key area of healthcare prime for implementation of AI tools. However, it remains unclear whether academic research and rigorous evaluations have kept pace with the emergence of new applications of AI, particularly those that are patient-facing.

Fields of Study & Subjects

Interpreting and Communication in Healthcare Artificial Intelligence in Healthcare and Education Healthcare Decision-Making and Restraints

Publication details

Journal / source
npj Digital Medicine
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
1
Publication date
15 May 2026
Language
EN