Nearly one-third of Canadians belong to a linguistic minority, which may limit access to high-quality healthcare. Although these populations experience poorer health outcomes, the long-term effects of patient-physician language concordance remain poorly understood, and professional interpretation services remain underused.

This research program aims to: (1) examine the association between patient-physician language concordance and long-term outcomes among individuals with chronic diseases; (2) identify the underlying mechanisms and modifiable factors associated with these relationships; (3) synthesize the evidence on artificial intelligence (AI)-based bedside translation tools; and (4) explore patient perspectives on the use of these technologies.

Using linked Canadian Community Health Survey and administrative health data, retrospective cohort studies will evaluate the impact of language concordance among patients with diabetes and obstructive lung disease. A systematic review and a qualitative study involving patients from diverse linguistic backgrounds in Manitoba will assess the feasibility and acceptability of AI-assisted translation tools.

This program will generate evidence on the benefits of language-concordant care and inform strategies to develop healthcare systems and workforces that are more responsive to linguistic diversity.