Medidata Launches Clinical Data Studio: Artificial Intelligence in Clinical Trials

Data processing and comparison of sources combined with artificial intelligence up to 80% faster, simplifying the life cycle of the data by connecting different information sources


Integrating artificial intelligence in the management of medical experiments. Public image, Dassault Systèmes
Integrating artificial intelligence in the management of medical experiments. Public image, Dassault Systèmes

Medidata, a brand of Dassault Systèmes and provider of solutions for clinical trials in the life sciences industry, announced the launch Clinical Data Studio, a unified experience, which helps realize the true potential in clinical research data. This is a breakthrough technology that gives researchers better control over data quality and improves the ability to deliver safer trials to patients more quickly.

The Clinical Data Studio experience is built on the only unified platform in the industry and integrates data from Medidata as well as other sources. The experience accelerates decision-making throughout the clinical trial process and provides holistic data and risk strategies that connect patients, sites and funding bodies.

Using artificial intelligence, research teams can more effectively identify data problems and safety signals (safety signals) and understand the patient more precisely. In this way, the inherent challenges of dealing with separate data systems are reduced, and data from different sources can be processed up to 80% faster.

"Clinical Data Studio paves the way for an extensive ecosystem of clinical data. Using built-in artificial intelligence, we democratize access to data and discover the significant signals, insights and risks.
In this way, research is accelerated and a wealth of data is generated for new discoveries," said Tom Doyle, Chief Technology Officer at Mididata. 

Clinical Data Studio is a workspace with extensive data integration, transformation and management. The experience includes data adjustment and anomaly detection with the help of artificial intelligence, independent user access to data lists, the ability to identify risks related to data quality and tools to implement a risk and information management strategy, with the support of visualization and workflows.

"While the volume of data and information channels are growing exponentially, the management of information and the generation of real-time insights are becoming more and more complex. This affects the launch time of treatments, delays the timely delivery of treatments to patients - and affects the lives of patients," said Dr. Nimita Limaya , Vice President of Research, R&D Strategy and Technology IDC. Medidata Clinical Data Studio allows users to manage all data, from and outside of Medidata, in one place, and has the potential to revolutionize the industry, speed up clinical trials and make treatments more accessible to patients, faster.

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