Why We Need Patients and Community at the Center of AI Health Communication Research
Julie Ayre, Lexuan Shao, Adam G Dunn, Stephanie Law, Tiffany Leung · 2026
Read Why We Need Patients and Community at the Center of AI Health Communication Research by Julie Ayre, Lexuan Shao, Adam G Dunn, Stephanie Law, Tiffany Leung (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13152200.txt.
Description
Ayre and co-authors argue that patients and local communities should sit at the center of research on AI health messages. Their 2026 commentary responds to a study in which AI written discharge notes helped patients grasp what to do after leaving hospital. The piece is a call to improve how such tools are designed and tested.
The authors say fairness and user input are still scarce in studies of patient facing AI tools. People who will read the messages rarely help shape them or judge them. The commentary sketches ways to close that gap, such as deeper engagement early in design. Stronger methods, they argue, would help AI discharge tools serve all patients more fairly.
Catalog record
| CREATOR | Julie Ayre, Lexuan Shao, Adam G Dunn, Stephanie Law, Tiffany Leung |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 9 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |