# How Hello Patient uses Cartesia

**13%**: “potentially saving up to 13% of previous support costs”

As published on [cartesia.ai](https://www.cartesia.ai/customers/hellopatient), November 2024. Captured by usedby on 2026-10-08.

- Company: [Hello Patient](https://www.usedby.ai/companies/hello-patient.md)
- Tool: [Cartesia](https://www.usedby.ai/tools/cartesia.md)

## What the story says

Hello Patient runs an AI assistant that handles patient phone calls and texts for medical practices, covering scheduling, re-engagement and acquisition. It uses Cartesia's Sonic text-to-speech for low-latency, natural-sounding voices, integrated through LiveKit.

Summary written by usedby from the source page, in English. The figures are those of Cartesia and Hello Patient, not ours.

> Cost Reduction: Programmatic calling and texting eliminates wasted staff time on voicemails, potentially saving up to 13% of previous support costs.

- **90ms**: “Industry-Leading Responsiveness: Sonic achieves 90ms latency, enabling natural dialogue without the awkward pauses typical of automated systems.”

> We’re building self-service tools for patients, just in the channels they prefer to communicate with healthcare providers - phone and sms. The latency is there. It sounds realistic. It can actually handle crazy complex edge cases and unstructured inputs from the customer or from the patient, which wasn’t possible until today and still isn’t possible with all CcaaS providers.
>
> Alex Cohen, Co-Founder and CEO, Hello Patient

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 13% is printed word for word on the page, near the name of Hello Patient.
- Checked: the passage quoted above is copied word for word from the page, near the name of Hello Patient.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Hello Patient uses Cartesia. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/hello-patient-cartesia · How we check: https://www.usedby.ai/methodology