Quality

DQRadar

Spot data-quality trends early.

What it does

DQRadar helps study teams surface emerging data-quality signals and prioritize issues before they become larger operational problems. The product focuses on practical visibility rather than replacing core clinical systems.

Problem solved

Study teams often recognize quality problems only after they have accumulated enough volume to become operationally expensive.

Best suited for

Study teams that want lightweight, visual quality surveillance without adding another large enterprise platform.

Typical use

Used during conduct to monitor query patterns, data quality signals, and emerging operational risk.

Deployment

Hosted Saas

Implementation

A practical view of what it may take to use this product in your environment.

Implementation requirements

Minimal setup
No API integration required for standard workflow
Little or no IT involvement
Can be configured by the study team

Technical considerations

File-based ingestion supported
No direct EDC write-back
Browser-based analytics
Access controls configurable

Compliance & validation

Product information below is creator-supplied unless ClinExchange explicitly states otherwise.

21 CFR Part 11

Creator attested - not independently reviewed

The creator reports Part 11-aligned controls for applicable functionality, but ClinExchange has not independently reviewed the claim.

A marketplace listing is not a regulatory certification. Sponsors remain responsible for assessing fitness for intended use, validation, and applicable regulatory requirements.

Validation & review information

Validation available: No / not stated
Security review available: Yes
Privacy: Sponsor privacy and security assessment is still required before production use.

Evidence

Product demo

Available

Creator attestation

Available

Pilot feedback

Available

Creator

Jordan Lee

Clinical Data Lead · Independent

Clinical data professional focused on practical quality monitoring and early signal detection.

Contact Creator