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A Paradigm Shift in Data Monitoring





The clinical trials industry is changing, along with the management of trial data. Where once it would take weeks to see trial results, it is now possible to view data in real time directly from eSource platforms and mobile devices. Electronic data capture remains a fundamental part of data collection, with Big Data, artificial intelligence, patient centricity, new technologies, and machine learning being the current industry buzzwords. For those working in the industry, it can be a challenge to stay on top of the continuously advancing data management world. To address this, The Society for Clinical Data Management (SCDM) recently published a new whitepaper on the evolution of clinical data management (CDM) to clinical data science (CDS).

What is Clinical Data Science?

The SCDM defines CDS as “the strategic discipline enabling data driven Clinical Research approaches and ensuring subject protection as well as the reliability and credibility of trial results. Clinical Data Science encompasses processes, domain expertise, technologies, data analytics and Good Clinical Data Management Practices essential to prompt decision making throughout the life cycle of Clinical Research”.

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About the author


As CEO of CluePoints, François Torche holds a Master’s in Business Administration from the ICHEC School of Management, Belgium. Over the past 18 years in the pharma industry, François has held positions as a Statistical Programmer, SAS and JAVA Developer, and IT Project Leader for companies such as GSK, UCB, and IDDI. During his 10 year tenure with IDDI as an IT Specialist, he assisted in the development of the SMART™ engine and the underpinning of CluePoints.
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