Real-World Evidence Conference

EHR and claims data are essential to real-world evidence, but they capture only fragments of the patient journey. Evidation enables a longitudinal, multimodal approach to real-world data collection by maintaining a continuous, consented connection with individuals over time.

In this case study, Evidation applied this approach to real-world data collection by maintaining a continuous, consented connection with a cohort of over 150,000 individuals managing their weight including more than 10,000 GLP-1 users. Through this connection, Evidation collected patient-reported outcomes, sensor-based behavioral data, and social determinants of health, with the ability to enrich these data through linkage to EHRs, claims, and biospecimens. This patient centric model reveals how and why individuals initiate, sustain, or discontinue treatment, enabling earlier signal detection, more targeted study designs, and stronger real-world interpretation.

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