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: Journal of Participatory Medicine

Date Submitted: Apr 10, 2025
Date Accepted: Apr 22, 2025
(closed for review but you can still tweet)

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

From E-Patients to AI Patients: The Tidal Wave Empowering Patients, Redefining Clinical Relationships, and Transforming Care

Woods S, Greene S, Adams L, Cordovano G, Hudson M

From E-Patients to AI Patients: The Tidal Wave Empowering Patients, Redefining Clinical Relationships, and Transforming Care

J Particip Med 2025;17:e75794

DOI: 10.2196/75794

PMID: 40378413

PMCID: 12101788

From e-Patients to AI Patients: the tidal wave empowering patients, redefining clinical relationships, and transforming care.

  • Susan Woods; 
  • Sarah Greene; 
  • Laura Adams; 
  • Grace Cordovano; 
  • Matthew Hudson

ABSTRACT

Artificial intelligence (AI) and large language models (LLMs) offer significant potential to enhance many aspects of daily life. Patients and caregivers are increasingly using AI for their own knowledge and to address personal challenges. The growth of AI has been extraordinary; however, the field is only beginning to explore its intersection with participatory medicine. For many years, the Journal of Participatory Medicine has published insights on tech-enabled patient empowerment and strategies to enhance patient-clinician relationships. This theme issue on Patient and Consumer Use of AI for Health to explore the use of AI for health from the perspective of patients and the public.


 Citation

Please cite as:

Woods S, Greene S, Adams L, Cordovano G, Hudson M

From E-Patients to AI Patients: The Tidal Wave Empowering Patients, Redefining Clinical Relationships, and Transforming Care

J Particip Med 2025;17:e75794

DOI: 10.2196/75794

PMID: 40378413

PMCID: 12101788

Download PDF


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