Evaluating Wearable Data Platforms For Endpoint-Driven Studies: A 5-Point Checklist For Clinical Trial Sponsors

Selecting the right wearable data platform is becoming more consequential as sponsors shift from exploratory use to developing true endpoint‑driven strategies. The underlying infrastructure determines whether continuous sensor data becomes reliable clinical evidence or remains disconnected and difficult to interpret. A strong platform integrates wearable streams directly with core clinical data, enabling unified oversight, real‑time visibility into completeness and adherence, and the ability to create derived or composite endpoints within a validated environment.
Equally important is the ability to analyze wearable signals alongside laboratory values, eCOA measures, and other datasets without leaving the system, preserving traceability and inspection readiness. This structured, compliant workflow helps teams align wearable data with endpoint intent while reducing reconciliation burden.
The full blog walks through a practical five‑point checklist that helps sponsors evaluate platforms with the rigor needed for endpoint‑driven research.
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