To explore the benefits, limitations, and concerns perceived by patients with systemic lupus erythematosus (SLE) regarding AI symptom assessment tools in the context of their diagnostic experiences.
Approach:
Focus Group Study: Conducted four virtual focus groups with adults from the McGill University Health Centre SLE research cohort to gather patient insights.
Key Findings:
Patients reported significant delays in SLE diagnosis, affecting care and outcomes.
Participants expressed mixed feelings about the usefulness of AI symptom assessment tools, citing concerns about accuracy and trust.
There is a need for AI tools to better align with the complexities of chronic diseases like SLE.
Interpretation:
The study highlights the challenges patients face in obtaining timely diagnoses and acknowledges the limitations of AI tools in addressing these issues.
Limitations:
The study was limited to a specific cohort from Montreal, which may not represent the broader population.
Focus group discussions may not capture all patient experiences or perspectives.
Conclusion:
AI symptom assessment tools require improvements to better meet the needs of patients with complex conditions like SLE.
A prespecified exploratory analysis of the FIND-CKD clinical trial examined kidney function, albuminuria, and kidney failure outcomes in 903 patients with glomerular diseases.
