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A Central Iowa Health System Is Using AI Medical Interpreting in Everyday Clinical Care

AI medical interpreting is not a future concept. WHO13 featured a Central Iowa health system already using No Barrier in live patient care, in the languages its community actually speaks.

Rivka Allouche

Head of Marketing & Content

Last Updated:

September 15, 2026

4

Minute Read

WHO13 recently featured a Central Iowa health system that is using No Barrier to expand language access for its patients. The segment is worth watching in full because it shows something that still catches people off guard: AI medical interpreting is not a future concept. It is already in daily clinical use. Read the WHO13 story.

Here is a short look at what that deployment actually looks like, based on the coverage.

AI interpreting that is already in clinical use

This is not a pilot running in a back office. Clinical teams at this health system use No Barrier during real patient encounters, so providers and patients understand each other in the moment instead of waiting for a third party to join the conversation. That is the part worth sitting with. The technology is working inside live care, not around it.

Which languages matter for this patient population?

The languages that matter are the ones the community actually speaks. For this health system, that includes languages commonly found across Southeast Asia and parts of Africa, alongside the more frequently requested languages every US clinic sees. No Barrier covers these as part of its 295+ language access options, so the focus stays on the patient population in front of the provider rather than on a short menu of the most common languages.

Is a human interpreter still available?

Yes. A human interpreter stays available. A provider can bring in a person at their discretion. AI handles the immediate, everyday interpreting need.

“We still have in-person interpretation available to patients, which is particularly important for sensitive information.” Samuel Lynch, Family Nurse Practitioner

How fast is the interpreting?

There is no wait and this is the advantage clinicians feel first. Instead of dialing a line and holding for an interpreter to join, a provider presses a button and starts talking. Interpreting happens at the speed of the conversation, so the visit keeps its natural rhythm.

How high is the interpreting quality?

“The quality of interpretation is very high level.” Samuel Lynch, Family Nurse Practitioner

No Barrier is designed for medical language rather than adapted from a consumer translation tool, so the interpreting holds up in the complex, high-stakes conversations that fill a care setting. Quality is what makes instant interpreting usable in the first place.

How hard was it to implement?

The rollout was fast. In the WHO13 segment, the health system's IT team presented the deployment. For staff, the day-to-day experience comes down to press and talk. "He says attendees were impressed by the results and could see expanded use for the program, especially when translators are hard to come by."

Read the full story on WHO13: Central Iowa healthcare provider using AI to expand translation services.

Curious whether this fits your patient population? Reach out to assess fit.

FAQs

How is No Barrier being used in Central Iowa?

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No Barrier is used for real-time AI medical interpreting during live patient encounters, as featured by WHO13.

How many languages does No Barrier support?

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No Barrier offers 295+ language access options, including languages spoken across Southeast Asia and parts of Africa.

How long does it take to roll out No Barrier?

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Health systems are usually live in roughly two weeks, with staff using a simple press and talk experience. More insights about No Barrier's training and adoption here. 

Is AI medical interpreting actually in use today?

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Absolutely. No Barrier shows a live clinical deployment rather than a trial, as documented in the WHO13 coverage.

How is the quality of medical interpreting?

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Quality is high and the providers using it say so. Family nurse practitioner Samuel Lynch pointed to the interpreting quality directly in clinical use. It also holds up under testing: in independent evaluation against human interpreting, No Barrier showed fewer omissions and stronger accuracy on medical terminology, drawing on a deep memory of clinical language it can call on in the moment. That accuracy is what makes instant interpreting usable in the first place.

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Rivka Allouche

Head of Marketing & Content

Rivka brings over a decade of experience in product, growth and digital strategy. At No Barrier, she examines language access and how AI is reshaping healthcare delivery and understanding. Her work draws on research and interviews across the healthcare ecosystem, from frontline providers to investors and decision makers, to surface insights that improve visibility, care practices and real world decision making.

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