Why We Need Patients and Community at the Center of AI Health Communication Research

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Authors: Julie Ayre, Lexuan Shao, Adam George Dunn
Cited by: 1
References: 11

Abstract

Unlabelled: Holderried and colleagues tested whether artificial intelligence (AI)-generated, patient-centered information can help people understand what they need to do after being discharged from a hospital. Participants demonstrated stronger comprehension when they viewed the simplified, patient-centered information rather than a standard letter. This work adds to the available early-phase evidence of AI supporting hospital discharge communication. To meaningfully progress this area of research, we now need to carefully consider how to enhance the design and evaluation of patient-facing AI health communication tools. In this commentary, we argue that equity and consumer engagement remain underrepresented in studies on patient-facing AI health communication tools and describe possible approaches to address this issue.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Patient-Provider Communication in Healthcare Digital Mental Health Interventions

Publication details

Journal / source
Journal of Medical Internet Research
Publisher
JMIR Publications Inc.
Volume
28
Pages
e97577–e97577
Publication date
7 May 2026
Language
EN