Accepted for/Published in: Journal of Participatory Medicine
Date Submitted: Dec 8, 2024
Date Accepted: Nov 14, 2025
Patients and Caregivers Leveraging AI to Improve Their Healthcare Journey: A Case Study and Lessons Learned
ABSTRACT
This paper presents a case study from a caregiver’s perspective, showing how AI can support the interpretation of medical test results, improve understanding of potential diagnoses and treatment options, and help navigate care more effectively. In this case, the use of AI enabled the patient and caregiver to feel better informed, less anxious, and able to take timely action. The paper also includes the actual topics and questions used in AI conversations throughout the care journey. In addition, the paper explores proposed patient use cases for AI, strategies to address its limitations, examples of existing tools, and potential areas for future patient-focused innovation. The paper concludes with a call for “Patients as Partners in AI Design.”
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Copyright
© 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.