Medidata Clinical Data Studio
Unlock the True Power of Clinical Research Data
Medidata Clinical Data Studio is a data management and quality experience that provides seamless access to integrated data from Medidata and non-Medidata sources. It leverages AI to streamline data aggregation, standardization, and management workflows so that multiple users can review real-time data to shorten timelines, reduce risk, and ensure safety.
Benefits of Clinical Data Studio
Accelerate Data Review and Ensure Data Quality
With Clinical Data Studio, clinical data management has access to review all clinical trial data in one place. Assisted by AI and automation, data managers can shorten review cycle times by up to 80% per review cycle.
Manage Risks and Identify and Action Issues Earlier
Clinical Data Studio, with embedded AI and smart analytics, enables clinical operations teams to centrally monitor, manage, and mitigate data quality and patient safety risks.
Spot Patient Safety Signals Sooner
With all the data in one place, sponsors, medical monitors, and sites can easily set up and visualize the patient journey with comprehensive patient narrative profiles.
Clinical Data Studio provides medical monitors with a full view of efficacy and safety trends across all aggregated patient data. This allows them to identify unexpected and emerging patterns and spot potential patient safety issues. They also gain access to oncology-specific analytics and dashboards to explore complex RECIST 1.1 data easily.
Reduce Technical Complexity and Burden
Clinical Data Studio is an experience delivered on the Medidata Platform and accesses Rave EDC data directly rather than adding another system and integration to maintain. It can be up and running in as little as three days, and its low/no-code environment means it doesn’t require expensive managed services to operate. Instead, it reduces reliance on technical resources by simplifying importing (from non-Medidata sources), integrating, and standardizing data.
Proof Points
Less Programming Time
Reduction in time generating listings
Automated Data Reviews
Reduction in data review cycle time
Minimal Configuration
Reduction in KRI configuration time
Shorter Time to Action
As little as 3 days to get up and running
Key Features of Clinical Data Studio
Clinical Data Studio positively impacts your data quality through features delivered in a single, high-quality user experience.
No/low-code Data Ingestion, Standardization, and Transformation
In a no/low-code environment, Clinical Data Studio enables self-service data import, validation, unit conversion, and custom dataset integration to aggregate and standardize data from multiple sources (Medidata and non-Medidata) and make it available to clinical data managers, central monitors, and medical monitors for review and analytics.
Data Review and Reconciliation
With Clinical Data Studio’s data review and reconciliation capabilities, data review listings are created without programming, Rave EDC queries are non-Medidata sourced data can be queried, AI assists with data reconciliation, data can be easily visualized, and progress in data cleaning can be tracked.
Patient Profiles, Ad-hoc Visualizations, and Oncology Analytics
Clinical Data Studio enables comprehensive patient profiles to be easily designed from scratch or from templates to provide complete patient narratives across all data sources. Ad-hoc visualizations can be quickly created to display data in multiple formats, and for oncology studies, RECIST 1.1 analytics are available, all without the need for programming.
Risk-Based Quality Management (RBQM)
Clinical Data Studio brings your risk-based strategies to all your clinical data in one place. Quickly configure and monitor KRIs (key risk indicators) and QTLs (quality tolerance limits). Uncover site performance and compliance risks, using AI to discover anomalies and unusual trends. Identify data quality and patient safety issues sooner.
What our Customers have to say
“We’ve included Medidata’s Clinical Data Studio in our clinical trial management platform given its ability to break down data silos and seamlessly integrate into our current software stack, while maintaining quality and integrity across all data sources.”
– Shobha Dhadda, Ph.D., Chief Clinical Science & Operations Officer, Eisai
“We need to think about including safety, medical, clinical, and everybody on the same platform, and using the single source of the truth. Clinical Data Studio [formerly Detect] provides us that capability.”
– Haiyan Wei, Senior Vice President, Clinical Data Sciences
“We love Medidata Clinical Data Studio [formerly Detect]. I want every sponsor to use Clinical Data Studio!”
– Melissa Hancock, Director, eClinical Technologies, Aperio Clinical Outcomes
“It was important for us to have this one technology where everybody looks at the same data to drive our decision-making processes. That is what Clinical Data Studio [formerly Detect] gives us. It also helps with our data review, and making that faster, ensuring we are focusing on the right areas.”
– Geneveve Nadeau, Director, UK Head, RBQM & Clinical Operations
Learn More
Clinical Data Quality Management eBooks
Read our eBooks on:
- A (R)evolutionary Path for Data Managers. The guide to driving data quality across the “5 Vs” of clinical data
- RBQM: The Connective Tissue for Data Quality
- 5 Strategies to Dramatically Improve Clinical Data Quality
Empowering Transformation Through Technology From Clinical Data Management To Clinical Data Science
This article outlines the evolution of clinical data management into clinical data science, with data managers now being the stewards of all data and overall data quality. It highlights the critical tenets of innovative strategies and cutting-edge technology while ensuring a proactive, efficient, and insightful data management ecosystem.
Clinical Data Quality Blog Post Series
Read blog posts from Medidata’s clinical data quality and technology experts discussing topics including patient centricity and data centricity, why data platform architecture matters, RBQM, and AI.
Behind the Data
A video series delivering insights on the future technology of clinical research – from the Medidata innovators who are shaping it. Real people, real solutions, real stories, real innovation…Hear from the Medidata team about the future of technology in clinical research and what is happening now that can drive your clinical trial outcomes.
SCDM Webinar: The 5Es of Operationalizing AI in Clinical Data Management
This webinar introduces the concept of the ‘5Es of AI’ (Essential, Enjoyable, Explainable, Ethical, Efficient AI) and describes how each relates to a practical use case of AI applied to clinical data management tasks.
You decide what cookies Medidata will use
Your preferences will be kept for 6 months and you can change them at any time by clicking on the "Manage my cookies preferences" link in the footer of each webpage. To learn more about how this site uses cookies, please visit our privacy policy.
What are cookies?
Complete details can be found in our Privacy Policy.
- Microsoft Clarity
- Microsoft Bing
- Mouseflow
- Oracle / Eloqua
- 6sense
- Autodesk