Healthcare leaders turn to AI when interpreter waits pass five minutes

A new Boostlingo and Fierce Healthcare survey finds most healthcare leaders would consider AI interpreting if a human interpreter is not available within five minutes. The results point to growing openness to a hybrid model, but trust and accuracy concerns still slow adoption.

Why it matters: - Delays in interpretation can delay care, and 60% of respondents named delays in care as the top consequence when an interpreter is not available. - The findings suggest healthcare organizations may increasingly use AI for lower-risk interactions when human interpreters are not immediately available. - Cost pressures remain part of the equation, with 54% of respondents citing managing cost as a top challenge.

What happened: - Boostlingo and Fierce Healthcare released AI Interpreting in Healthcare 2026, based on a survey of 123 healthcare leaders. - Only 1 in 5 respondents said they would use AI immediately, even with the right safeguards in place. - When the wait for a human interpreter passed five minutes, roughly 3 in 4 respondents said they would consider AI. - More than 8 in 10 leaders said longer waits would make them more likely to evaluate AI at all.

The details: - The survey found trust is the biggest barrier to AI interpreting. - Doubt that AI would hold up in real conversations was the top concern, cited by 59% of respondents. - Accuracy, compliance and liability were also named as concerns. - Scheduling and billing conversations, with a human interpreter available as backup, were acceptable to 85% of respondents. - Comfort drops sharply for emergency and sensitive care, where most leaders still prefer a human interpreter by default. - The report says AI interpreting has a role in healthcare, according to 95% of respondents. - 61% of respondents said they are open to piloting AI interpreting within the next 12 months. - Merrie Wallace, chief revenue officer at Boostlingo, said organizations often choose the lowest-cost provider and that there is a trade-off point between cost and quality. - Dr. Julie Mills, CNE at Boostlingo, said the better question is not whether to use AI or human interpreters, but which modality and safeguards fit each interaction. - The full report includes use-case risk and pilot design checklists. - The report is available for download at the full report.

Between the lines: - The results point to a pragmatic, not wholesale, shift toward AI interpreting. - Healthcare leaders appear willing to use AI where the stakes are lower and backup support exists. - The biggest barrier is not demand. It is confidence that AI can perform safely in live clinical conversations.

What's next: - Healthcare teams evaluating AI interpreting are likely to focus first on scheduling, billing and other lower-risk use cases. - The report frames future adoption around pilot programs, safeguards and use-case selection rather than broad replacement of human interpreters. - The survey was fielded with Fierce Healthcare from April 6 to May 6, 2026, and the results are directional rather than statistically representative.