Designing Fit for Purpose RWE in Early Development Using Symptom Level Data to Inform Decision Making
- Working in therapeutic areas like mental health where structured diagnoses are often missing and exploring how symptom level and unstructured data can be used to better define patient populations and unmet needs
- Applying epidemiological thinking in early development to navigate bias, confounding, and data gaps when informing trial design and early decision making
- Sharing practical case examples that show how real-world symptom data can support cohort identification, endpoint selection, and reduce risk earlier in the pipeline