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The CEO of Tennr, which raised a $101M series C earlier this summer, explains how the company's platform uses large language models to make the patient referral process to specialists more efficient

The CEO of Tennr, which raised a $101M series C earlier this summer, explains how the company's platform uses large language models to make the patient referral process to specialists more efficient

Published 1 year ago
Description

Trey Holterman describes how Tennr is trying to fix this process which relies on significant unstructured data and has traditional leads to onerous delays and unnecessary rejections.

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