Alberto Tozzi · [An LLM for a friend.]
Article1 min read·Published Jan 2024Older

[An LLM for a friend.]

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Article · Jan 2024 · 1 min read

In brief

In brief

This article examines the emerging role of large language models in healthcare, including automated transcription, diagnostic support, and enhanced physician-patient communication. The authors identify key adoption barriers—data privacy concerns, digital literacy gaps, and workflow integration challenges—and emphasize the need for clinician training and interdisciplinary research to transform AI into practical augmented intelligence tools.

Written by the GCMD Library team from the article.

Alberto Tozzi

The large language models (LLMs) represent a technology that has not yet seen widespread use. In addition to the automatic transcription of doctor-patient conversations, these tools will be able to support doctors in diagnosis and improve communication between doctors and patients. Their large-scale adoption is still limited due to concerns about sharing sensitive data, a lack of digital literacy, and the need to build new processes in clinical routines. To fully realize their potential, it is essential to train healthcare personnel on the functionalities of LLMs and to promote interdisciplinarity and scientific research, transforming artificial intelligence into augmented intelligence.

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