Data Review
Accelerate data review in one powerful workspace
Data Surveillance in Clinical Data Studio brings together clinical data management and operations with real-time access to multi-source clinical trial data. With Clinical Data Studio’s Data Surveillance capabilities, you can create data review listings without programming, automatically generate Medidata Rave queries, use AI to assist with data reconciliation, visualize data, build complete patient profiles, track data cleansing progress, and review audit trail data.
Download OverviewIntegrate all Your Data
· Ingest and validate non-Medidata sourced data, quickly and easily.
· Standardize data with an SI (International System of Units) unit conversion library to be able to easily compare data from multiple sources.
· Integrate and transform Medidata and non-Medidata datasets to make them quickly available for review and analysis.
AI-Powered Data Reconciliation & Review
· Accelerate data review cycle times by up to 80% using embedded AI and smart analytics.
· Automate manual, error-prone reconciliation tasks and quickly identify data anomalies.
· Build complex listings without programming.
Dynamic Visualizations & Patient Profiles
· Create easy-to-configure ad-hoc visualizations and dashboards for actionable insights.
· Interrogate complex clinical data, including RECIST 1.1 oncology data, with interactive deep links.
· Gain a unified, single-source view of patient safety and study progress across trial sites.
Automated Query & Issue Management
· Generate bulk queries automatically for Rave-sourced data in less than a minute.
· Manage issues collaboratively across non-Medidata data sources to streamline workflows.
· Shorten issue detection and resolution timelines to maintain high-quality, analysis-ready data.
Track Data Cleansing Progress and Task Management
· Monitor and track patient data cleansing status and all operations metrics in real time.
· Drill-down to explore data cleansing progress at the patient level.
· Oversee user activities and compliance with assigned tasks in activity metrics hub.
· Ingest and validate non-Medidata sourced data, quickly and easily.
· Standardize data with an SI (International System of Units) unit conversion library to be able to easily compare data from multiple sources.
· Integrate and transform Medidata and non-Medidata datasets to make them quickly available for review and analysis.
Featured Resource
BLOG: Clinical Data Reviews: DIY Methods vs. Best-in-Class Systems
Traditional DIY clinical data review methods encounter a host of challenges. Learn how best-in-class systems can overcome them and drive major efficiencies.
Read Blog Post