For Contract Research Organisations (CROs)
Portfolio Level Delivery Risk
In clinical trials, blood pressure data is often fragmented. Multiple sites, regions, sponsors, devices and measurement methods each introduce variation, creating deceptive complexity and compounding headaches for data teams.
Protocol deviations, incomplete data and lengthy database locks are a common reality when BP data is not centralised. For CROs managing multiple trials across different sponsors, what begins as a site-level risk quickly becomes a portfolio-level delivery risk.
The dabl Answer
After years of industry experience in clinical and cardiovascular industries, dabl heard and answered the call for standardised, structured blood pressure data capture. As blood pressure specialists – this is what we do.
Standardised Blood Pressure Across Studies & Sponsors
Centralised capture from validated Home, Office, and ABPM devices ensures consistency across every trial. Where BP is a key endpoint, dabl brings the gold standard for blood pressure measurement to decentralised trials.
Configuration follows your protocol. Measurement windows, role-based permissions, blinding controls, and EDC export formats are all tailored to your exact study requirements.
Fewer Queries, Faster Database Locks
Real-time automated validation replaces time-consuming manual reviews. BP queries are reduced at both site and data management level — and because errors are detected at the point of capture, complete, valid data reaches your EDC from the start. The result: faster database locks where blood pressure is material.
Confidence in Data Accuracy
All data is validated at capture to ensure accuracy and compliance with protocol and local regulations. By eliminating manual data touchpoints, dabl removes the opportunity for human error — data moves directly from digital device to database.
Audit trails record the who, what, when, and why of every action or change. Combined with role-based permissions and encrypted access controls, the dabl system ensures the integrity of both actions and unblinded data.
Without dabl
Outcome
- Fragmented, unvalidated data
- High query volume at lock
- Delayed database lock
- Regulatory scrutiny risk
With dabl
Outcome
- Standardised, complete data
- Queries resolved at capture
- Faster database lock
- Audit-ready from day one