'Simplify trial data analysis and look at the bigger picture', says Quanticate

By Natalie Morrison

- Last updated on GMT

'Simplify trial data analysis and look at the bigger picture', says Quanticate
Quanticate says it will eliminate unnecessarily “complicated spreadsheets” in clinical trial data analysis after integrating a new simplified web-based program into its own.

The system, named Comprehend Clinical, enables what it claims is easy-to-access clinical data visualisation and analytics.  It works by creating ad-hoc graph forms of choice by simply dragging and dropping information.

The firm said the time researchers spend trying to understand overly complex trial data is a wasted resource and that, by making the process easier, resources can be better used on the bigger picture.

“Comprehend Clinical’s competitive advantage is its ability to pull data from any source and deliver it in a way that makes sense to researchers,”​ said Michael Whitworth, VP of centralised clinical data sciences at Quanticate.

“It will enable our sponsors to not only drill down and solve unique, specific problems in real time, but also provide a higher level view of data to tackle broader operational challenges.”

Rick Morrison, CEO and founder of Comprehend systems told Outsourcing-pharma.com it is “the only system with the ability to allow researchers to easily get answers to their questions throughout the trial process without additional programming or complicated spreadsheets.”

He added the program can be used by anyone from researchers to study managers to C-levels.

“It eliminates the middleman and provides usable results and visibility into trial data faster, resulting in more successful trials,”​ he added.

Time for action

Morrison also said that, with the regulators leaning more heavily on researchers with more stringent and complex rules, the need for simplification has never been greater.

“Sponsors and CROs (contract research organizations) are challenged to meet increasing regulatory requirements and leverage industry standards to easily share data across all systems in the clinical trials process,”​ he said.

“This development is an example of the growing role that analytics will play in the industry and clinical trials process.”

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