The unified platform merges data from various sources, expediting decision-making throughout the clinical trial process. Credit: Wanan Wanan/Shutterstock.

Medidata has introduced Clinical Data Studio, an AI-powered platform that aims to transform the clinical research data experience to streamline trials.

This technology offers stakeholders enhanced control over data quality and the ability to conduct safer trials more swiftly.

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Clinical Data Studio is built on a unified platform and merges data from various sources, expediting decision-making throughout the clinical trial process.

The platform also provides strategies that encompass complete data and risk while connecting participants, sites and sponsors.

The use of AI enables study teams to detect possible data issues and safety signals more effectively, leading to an accurate understanding of patient health.

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This approach aids in lowering the challenges presented by disparate data systems.

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With Clinical Data Studio, data review and reconciliation can be performed up to 80% faster, enhancing efficiency in trials.

The comprehensive workspace provided by the platform includes AI-assisted data reconciliation, self-serve data listings, anomaly detection and risk-based quality management.

In addition, it has tools for implementing comprehensive data and risk strategies backed by workflows and visualisations.

With Clinical Data Studio, users will be able to manage their complete Medidata and non-Medidata data in a single place.

Medidata chief technology officer Tom Doyle said: “Clinical Data Studio unlocks the broad ecosystem of clinical data.

“Powered by embedded AI, we are democratising access to data and revealing the signals, risks and insights that matter most. Together, this accelerates trial execution and creates rich data for new discoveries.”

In May this year, Medidata announced an expanded partnership with contract research organisation Worldwide Clinical Trials to expedite clinical trials and enhance the patient experience.