Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Dermatology

Date Submitted: Dec 5, 2023
Open Peer Review Period: Feb 7, 2024 - Apr 3, 2024
Date Accepted: Jun 29, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa

Gawey L, Dagenet CB, Tran KA, Park S, Hsiao JL, Shi V

Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa

JMIR Dermatol 2024;7:e55204

DOI: 10.2196/55204

PMID: 39141908

PMCID: 11358659

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Readability of ChatGPT for Hidradenitis Suppurativa

  • Lauren Gawey; 
  • Caitlyn B. Dagenet; 
  • Khiem A. Tran; 
  • Sarah Park; 
  • Jennifer L Hsiao; 
  • Vivian Shi

ABSTRACT

Summary Sentence: This study aimed to assess ChatGPT as a patient resource for Hidradenitis Suppurativa by evaluating the readability of ChatGPT-generated responses in comparison to established HS educational materials and online resources. Our results demonstrate that ChatGPT-generated responses were seven to nine grade levels above the recommended reading level and had a higher linguistic complexity compared to other HS online resources.


 Citation

Please cite as:

Gawey L, Dagenet CB, Tran KA, Park S, Hsiao JL, Shi V

Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa

JMIR Dermatol 2024;7:e55204

DOI: 10.2196/55204

PMID: 39141908

PMCID: 11358659

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.