Large Language Model Responses to Adolescent Patient and Proxy Messages

This cross-sectional study assesses a language model’s ability to discern between messages from adolescent patients and those from their parents/guardians and subsequently generate appropriate responses.

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Publication Details

Journal
JAMA Pediatrics
Published
2024-11-04
DOI
https://doi.org/10.1001/jamapediatrics.2024.4438
Citations
6
Primary Topic
Patient-Provider Communication in Healthcare
Type
article
Field-Weighted Citation Impact
5.10
Controls
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article

Large Language Model Responses to Adolescent Patient and Proxy Messages

Arash Anoshiravani, Gabriel Tse, Keith Morse, Aydin Zahedivash et al.
6 citations
JAMA Pediatrics
Patient-Provider Communication in Healthcare
5.10
article

Large Language Model Responses to Adolescent Patient and Proxy Messages

Arash Anoshiravani, Gabriel Tse, Keith Morse, Aydin Zahedivash, William J. Haberkorn, Jennifer Carlson
article en
6 citations

Abstract

This cross-sectional study assesses a language model’s ability to discern between messages from adolescent patients and those from their parents/guardians and subsequently generate appropriate responses.

JAMA PediatricsVol. 179(1)
Lucile Packard Children's Hospital (US), Stanford University (US)
Openalex Percentile: Top 4%
Patient-Provider Communication in Healthcare
5.10
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