Frenchtown, NJ

Thursday 7th May 2020

Data Anomaly Detection



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.






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PHUSE is an expanding, global society with a global membership of clinical data scientists. It requires a large pool of resources to help with its running, and so there are many opportunities for members to become involved. Whether it's chairing a conference, presenting at an event, leading a working group or contributing to the quarterly online newsletter, we are always keen to hear from volunteers.

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