Frenchtown, NJ

Thursday 7th May 2020

Data Anomaly Detection

 

Presentations:

Leveraging Analytics to Drive Risk-based Quality Management; Role of Biostatistics in Fraud DetectionSteve Young & Marthe Masschelein, CluePoints

Using Artificial Intelligence and Machine Learning for Anomaly Detection to Decrease Risk and Improve Data Quality and Patient SafetyPankaj Manon, Thoughtsphere

myRBQM Approach to Risk-based Quality Management – Johann Proeve, Cyntegrity

Using Risk-based Quality Management to Ensure the Reliability of Clinical Trial Endpoints: Fundamental Principles Nathaniel Katz, WCG Analgesic Solutions

Using Statistics and Data Visualization to Improve Data QualityRichard Zink, TARGET PharmaSolutions

Leveraging Machine Learning for a Highly Effective Approach to Clinical Trial Site Performance and Data QualityErin Sjostrom, Medidata

RBM/Centralized Statistical Monitoring Eric Herbel, Integrated Clinical Systems

 

LISten to the virtual sde here

 

 

SDE Chairs:

Eric Herbel, Integrated Clinical Systems

Michael Rubison, Capish

If you have any questions, or require any information, please contact the SDE Chairs.

 

Sponsors:

 

 

 

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