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