Perceived impact of LLMs in healthcare organizations in the U.S. 2024

Published by Statista Research Department, Jul 22, 2024

As of 2024, surveyed employees in the United States rated the impact of large language models on transcribing doctor-patient conversations with an average score of 3.85, with 5 being the highest possible score. The second-highest rating was for the use of LLMs on medical chatbots, with a score of 3.72.

Mean rating of large language models (LLMs) on use cases in healthcare organizations in the United States as of 2024

CharacteristicScale 1 to 5 (Where 1 means no impact, and 5 means very high impact)
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Statistic: Mean rating of large language models (LLMs) on use cases in healthcare organizations in the United States as of 2024

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Release date

April 2024

Region

Worldwide

Survey time period

February 12 to March 15, 2024

Number of respondents

304 respondents

Special properties

Individuals employed by healthcare organizations

Method of interview

Online survey

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