Comprehensive Summary
This article argues that patient reported outcomes, or PROs, still don’t fully reflect what patients actually go through. Most PRO systems rely on fixed surveys that limit how people can describe their symptoms or experiences. The authors point out that health experiences are unpredictable and often change day to day, so forcing them into numbered scales oversimplifies reality. They suggest that generative AI could help by analyzing patient narratives instead of restricting them to multiple choice answers. With AI, patients could describe what they feel in their own words, and the model would extract meaningful patterns and insights. The authors offer two possible approaches, improving existing survey based tools or moving to a system that is completely narrative based. Both approaches are meant to make PROs more accurate and patient centered. However, the authors acknowledge that challenges like validation, ethics, and trust must be addressed before this shift becomes standard clinical practice.
Outcomes and Implications
If PROs start using generative AI, doctors could get a much clearer picture of what patients are experiencing. Instead of reading a number on a scale, they would understand the context behind symptoms, including emotional and lifestyle factors. This could help doctors make more accurate treatment decisions and catch problems earlier. It would also make the process less intimidating for patients who struggle with medical language because they could just talk normally. The concern is that AI could misinterpret language or reflect bias if not validated properly. But if implemented carefully, this approach could make care more personal and strengthen communication between patients and clinicians.