PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 9, 2026Journal of Medical Internet Research1 citationsOpen Access

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

View Full Paper
JAJulie AyreThe University of SydneyLSLexuan ShaoThe University of SydneyADAdam G. DunnThe University of Sydney

Key Points

  • This commentary addresses the need for patient-centered AI tools in health communication, particularly post-discharge.
  • Examined the effectiveness of AI-generated information versus standard letters for patient comprehension after discharge.
  • Identified the lack of equity and consumer engagement in existing research on AI health communication tools.
  • Participants showed improved understanding with AI-generated, patient-centered information compared to standard letters.
  • Calls for more equity-focused approaches in the development of AI health communication tools.

Abstract

Abstract 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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ayre et al. (2026) studied this question.

synapsesocial.com/papers/69fecfe9b9154b0b82876d6fhttps://doi.org/10.2196/97577
Ask AI
Helpful
Bookmark
Share
View Full Paper