Real-time analytics tool for clinical research launched


SQN Clinical recently launched SQN Health Analytics, a real-time analytics tool for clinical research that provides clinical professionals with a clearer picture of the entire trial process and all collected data, whenever and wherever needed.

Recognizing clients’ needs to improve clinical oversight and efficiency within clinical research, SQN understood the importance of developing an analytics suite that was flexible, responsive and reflected real-time fluctuations and unique evolution of respective trials.

“We can display any trial data in a clear and uncluttered way, real-time, anytime and anywhere. Reports and snapshots can still be generated for any point in the trial, providing reliable data for review meetings and to support decision making. The system allows for comparative analytics between or within trials, providing the opportunity to explore relationships and patterns that weren’t easy to see before,” said Joseph Jameson, Data Analyst at SQN Clinical.

SQN Health Analytics is fully integrated with SQN’s EDC and ePRO systems, providing a seamless data ecosystem. It gives sponsors access to information according to their role and the predefined access rights given to them. Senior teams can view high-level data for oversight management, comparing multiple sites and tandem trials. Dashboards with user-defined KPIs provide an instant snapshot of any element of the trial, and the data can be sorted and filtered in multiple ways to show any combination of factors.

“Our analytics does not use generic software adapted from another unrelated industry but has been specifically designed and built to support the complexity of clinical trial designs and their unique underlying data needs. It brings the data to life in a way not previously seen and includes a dynamic option to export selected data for further review, analysis and reporting,” said Jameson.

Future phases will include machine learning and further artificial intelligence to provide predictive modelling and forecasting capabilities. The overall goal is to help professionals anticipate issues and events before they arise and enable them to take proactive steps to keep their trials on track.

“Reliable data is the cornerstone of clinical research and thanks to recent advances in technology we can now collect more meaningful and usable information than ever before,” explains Tony Rees, Director at SQN Clinical. “The challenge is to maximize the use of data to better support the clinical trial process and patient oversight.”



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