Cyntegrity – Winner of the Hessen ModellProjekte Funding with the “Process Innovation in Clinical Trial Monitoring” Project

Today we are happy to announce that Cyntegrity together with PPH plus, the Institute of Biostatistics and Mathematical Modeling at the Goethe University, and the Fraunhofer Institute have just launched an innovative 1.5 year project for the evaluation and optimization of Risk-based Monitoring.

The aim of the project (code name “PUEKS”, full name “Process Innovation in Clinical Trial Monitoring”) is the development and validation of a Risk-based Monitoring process using robust data-driven risk indicators. The predictive and preventive power of the risk indicators will be investigated via a retrospective analysis of a finished trial and, subsequently, through their implementation in an ongoing study. Thus, the validity of the risk indicators will be assessed by using actual study data. The benefits of RbM in terms of monitoring cost savings, risk mitigation, and quality improvements will be evaluated against analogous or “twin” studies conducted by the Fraunhofer IME TMP in the past.

This project (HA project no. 448/14-38) is funded in the framework of Hessen ModellProjekte, financed with funds of LOEWE – Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz, Förderlinie 3: KMU-Verbundvorhaben (State Offensive for the Development of Scientific and Economic Excellence).

We are pleased to invite researchers to join the scientific collaboration and knowledge sharing that will drive Risk-based Monitoring to new frontiers.

By |2016-11-16T18:35:47+00:00December 9, 2014|News|Comments Off on Cyntegrity – Winner of the Hessen ModellProjekte Funding with the “Process Innovation in Clinical Trial Monitoring” Project

About the Author:

Professional in the integration of data-driven Risk-based Monitoring (RbM) process in international clinical trials of pharmacology. Speaker at regional and global conferences such as: DIA, PharmaForum, PharmaDay, DGGF, etc. 10+ years of experience in data quality projects and biostatistics for the pharmaceutical industry. Life passion: improving clinical research with RbM, driving the RbM research to new frontiers for CROs, pharma and biotech companies.

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