FDA Extends CRADA with CluePoints to Further Explore a Data-Driven Approach to Quality Oversight in Clinical Trials

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King of Prussia, PA, 10 September 2019– FDA and its stakeholders have an interest in assuring the integrity of clinical trial data and the protection of participants during the conduct of clinical research.  Misconduct in clinical research, including, but not limited to the falsification or omission of data in reporting research results, places all subjects in that trial at possible safety risk. 

Parexel Strengthens Risk-Based Monitoring Offering with CluePoints’ New Advanced Statistical Capabilities

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 Strategic collaboration leverages CluePoints’ Central Statistical Monitoring (CSM) technology to enhance data quality and reduce operational costs

Wayne, PA, June 18, 2019Parexel, a leading provider of Clinical, Consulting and Commercial solutions to accelerate the development of innovative new therapies to improve the world’s health, today announced  its strategic collaboration with CluePoints, an industry-leading provider of Risk-Based Study Execution (RBx) and Data Quality Oversight Software, to enhance overall data quality oversight and ensure regulatory compliance within clinical trials.…

Register to Participate in the CluePoints Data Quality Challenge

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Take the CluePoints Data Quality Challenge Today!

Are you struggling with how to assess the true value of improving data quality and integrity through Risk-Based Monitoring (RBM)?

Register to participate in the CluePoints Data Quality Challenge to find out first-hand how the ICH E6(R2) has given the industry, not only the a chance to become much more resource efficient while increasing data quality, but to realise huge cost avoidance benefits too.

Announcing the CluePoints Data Quality Challenge

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Are you struggling with how to assess the true value of improving data quality and integrity through Risk-Based Monitoring (RBM)?

Now is your chance to find out first-hand how ICH E6 R2 has given the industry, not only the chance to become much more resource efficient while increasing data quality, but to realise huge cost avoidance benefits too.