Many outpatient visits are prompted by symptoms that cannot be tied to a disease-based explanation. The prescribed symptomatic therapy may be non-specific and ineffective, leading to repeat clinic visits. From the one million plus All of Us participants, can symptom-specific data be extracted with Natural Language Processing and analyzed in relation to clinical, demographic, environmental, and self-reported data, to achieve the overarching goal of more precise symptom assessment and treatment?
Idea No. 367