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.
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.
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.
Clinical Data Studio’s Patient Profiles enable medical monitors and safety physicians to get closer to the patient journey with comprehensive narrative profiles.
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.
Reduction in time generating listings
Reduction in data review cycle time
Reduction in KRI configuration time
As little as 3 days to get up and running
Clinical Data Studio positively impacts your data quality through features delivered in a single, high-quality user experience.
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.
With Clinical Data Studio’s Data Surveillance capabilities, data review listings are created without programming, Rave EDC queries are automatically generated, AI assists with data reconciliation, data can be easily visualized, complete patient profiles can be built, and progress in data cleaning can be tracked.
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.
– Heidi McIntyre, Director of Centralized Data Monitoring, Moderna
– Haiyan Wei, Senior Vice President, Clinical Data Sciences
– Melissa Hancock, Director, eClinical Technologies, Aperio Clinical Outcomes
– Geneveve Nadeau, Director, UK Head, RBQM & Clinical Operations
The complexity of clinical trial data management has surged over the past decade.
Data managers are navigating unprecedented challenges in capturing, processing, and analyzing explosive volumes of data from an increasing variety of sources.
To stay ahead of the disruptive clinical trial data evolution, learn how technology continues to inform and optimize clinical data strategies and management processes with the “5Vs”—Volume, Variety, Velocity, Veracity, and Value.
Just as our body is only functional when all parts work together in harmony, RBQM can serve as the connective tissue of a given trial. This eBook explores seven ways the human body inspires better data quality in clinical trials.
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.
Watch Clinical Data Studio in action. See how automation and AI assist clinical data managers, medical monitors, and central monitors to work with all clinical trial data in one place, in a unified experience, to deliver data quality, mitigate study risks, and ensure patient safety.
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.
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.