Is More Perceived Empathy Better? Large Language Models, Communication, and Safety in Health Care

Abstract Richter and colleagues offer a careful systematic review of how large language model–based tools affect physician-patient communication, but the outcomes that matter most in deciding to scale a solution—trust and safety—are still unknown. Before deploying these tools, health systems need local validation, ongoing monitoring for accuracy and equity, and pragmatic trials that measure trust, safety, and outcomes alongside perceived empathy.

Authors

Publication Details

Journal
Journal of Medical Internet Research
Published
2026-11-10
DOI
https://doi.org/10.2196/113223
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Is More Perceived Empathy Better? Large Language Models, Communication, and Safety in Health Care

Rebecca Grochow Mishuris, Sara G. Murray, Deepti Pandita
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
article

Is More Perceived Empathy Better? Large Language Models, Communication, and Safety in Health Care

Rebecca Grochow Mishuris, Sara G. Murray, Deepti Pandita
article en

Abstract

Abstract Richter and colleagues offer a careful systematic review of how large language model–based tools affect physician-patient communication, but the outcomes that matter most in deciding to scale a solution—trust and safety—are still unknown. Before deploying these tools, health systems need local validation, ongoing monitoring for accuracy and equity, and pragmatic trials that measure trust, safety, and outcomes alongside perceived empathy.

Journal of Medical Internet ResearchVol. 28
Artificial Intelligence in Healthcare and Education
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