What we succeed?
As a result of the partnership we established with Validfor, full visibility, traceability, audit readiness and standardized workflows and centralized validation knowledge
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The Problem
Wearable-Derived Data Streams Introducing Endpoint Credibility and Multi-System Flow Risk
A CRO relies on wearable-derived data streams for clinical endpoint measurement — introducing medium-high risk to endpoint data credibility and multi-system data flow integrity. Without validated data capture, time synchronization, and transfer controls, the authenticity and traceability of endpoint data cannot be assured from acquisition through to analysis.
Medium-high risk to endpoint data credibility from wearable-derived data streams
Multi-system data flow risk across device, platform, and downstream analysis systems
No validated time synchronization or data transfer integrity controls
Vendor oversight for device and platform not formally documented
The Strategy
Validated Data Capture Pipeline with Audit Trail, Time Synchronization, and Vendor Oversight
The validation scope covered data capture integrity, time synchronization, data transfer, auditability, and vendor oversight for the device and platform — with testing focused on verifying completeness and integrity of transmitted data end-to-end, alongside documented vendor responsibilities.
Verify completeness and integrity of all transmitted data across the capture-to-analysis pipeline
Audit trail validation for all data corrections and modifications
Vendor oversight and responsibilities formally documented for device and platform providers
Validfor is an outstanding solution for managing the software validation life cycle. It brings structure and clarity to the entire validation process.
Luca Termite
IT Project Manager
The Solution
Audit-Ready Remote Data Capture with Verified Authenticity from Acquisition to Analysis
Data authenticity and traceability are maintained continuously from wearable acquisition through to clinical analysis — with all corrections auditable and vendor responsibilities clearly defined. The validated system ensures endpoint data meets the credibility standards required for regulatory submission.
Data authenticity and traceability maintained end-to-end from acquisition to analysis
All data corrections captured in a verified audit trail
Vendor responsibilities documented and oversight mechanisms verified for device and platform
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