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. Errors are detected at the point of capture ensuring complete, valid data reaches your EDC.
The result? Faster database locks where blood pressure is material.
dabl for Sponsors
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.
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
With dabl
Step 01
Device selection
Sites choose their own devices. No standardisation across regions or sponsors.
Inconsistent measurements
Step 01
Centralised device provision
Validated, regionally approved devices supplied and calibrated by dabl.
Standardised from the start
Step 02
Data capture
Paper or local systems. Manual entry introduces transcription errors and gaps.
Error-prone
Step 02
Automated digital capture
Data captured directly from device to database — no manual transcription.
Zero manual touchpoints
Step 03
Validation
Batch review at data management stage. Errors only discovered after accumulation.
Late detection
Step 03
Real-time validation
Every reading validated at point of capture against protocol rules.
Errors caught immediately
Step 04
Query management
High query volumes at lock. Site staff burden increases. Timelines slip.
Portfolio delivery risk
Step 04
Minimal queries
Complete, valid data enters the EDC — dramatically reducing query burden.
Reduced site burden
Step 05
Database lock
Delayed by outstanding queries, reconciliation, and audit trail gaps.
Delayed lock
Step 05
Fast, clean lock
Automated audit trails and complete datasets mean faster, cleaner database locks.
On schedule
Outcome
Fragmented, unvalidated data
High query volume at lock
Delayed database lock
Regulatory scrutiny risk
Outcome
Standardised, complete data
Queries resolved at capture
Faster database lock
Audit-ready from day one
