Win marks second award for CluePoints this month
Cambridge, MA - CluePoints, a leading provider of Centralized Statistical Monitoring (CSM) solutions for clinical trials, has announced that it has won a European Venture Contest award. The award program, which is part of the European Venture Summit, acknowledged CluePoints for its Central Statistical Monitoring (CSM) solution that employs unique statistical algorithms to determine the quality, accuracy and integrity of clinical trial data. The win represents the second industry award that CluePoints has secured this month after the company’s risk-based monitoring solution was also recognized by the Scrip Awards.
Each year over 800 start-ups enter the European Venture Contest, which hosts qualifying events across major European cities throughout the year. The top quartile from each of the qualifiers continue to the major end-of-year event, where 120 finalists are reviewed by a top selection committee and the top 25 best start-ups awarded.
“We are immensely honored to win another prestigious industry award and to be part of helping customers transform their monitoring practices through our technology platforms”, comments Fran?ois Torche, CEO of CluePoints. “These recognitions are testament to the strength of our team, whose efforts and dedication to helping our customers access the very best technology to make clinical trials as effective as possible, is the driving factor in everything the company achieves.”
For further information on the CluePoints, please visit www.CluePoints.com
About CluePoints
CluePoints® is a Central Statistical Monitoring solution that has been designed and perfected over the last 10 years. It employs unique statistical algorithms to determine the quality, accuracy and integrity of clinical trial data both during and after study conduct. Aligned with guidance from the FDA and EMA, CluePoints® is deployed to support traditional on-site monitoring and to drive a risk-based monitoring strategy. The value of using CluePoints® lies in its powerful and timely ability to identify anomalous data and site errors allowing improvement in clinical data quality, optimization of on-site monitoring and a significant reduction in overall regulatory submission risk.
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