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A holistic operational risk system isn’t just a good idea; it’s an essential requirement of today’s high functioning clinical trial ecosystem. Ever-increasing trial complexity, expanded data sources, surging data volumes and a host of new delivery models require fundamentally different approaches to how we collect and manage clinical trial data.
Parexel’s RBQM approach help clients identify, capture, and manage quality issues at the earliest stages of emergence before potential risks escalate into liabilities. This approach forms the basis of a fit-for-purpose monitoring strategy, using study risk level, complexity, country requirements, and site capabilities as key considerations. A continuum of models includes:
Parexel leverages historical data across hundreds of trials to model predictive scenarios and categorize risk by severity of impact. AI techniques complement clinical development and therapeutic knowledge to offer an unprecedented level of sensitivity when characterizing trends of importance or potential compliance issues.
Scores of well-established benefits related to RQBM adoption include:
[1] Association of Clinical Research Organizations. Accessible at https://www.acrohealth.org/wp-content/uploads/2019/10/EDL_ACRO_Graphics_CO3.pdf
We deliver Decentralized Clinical Trials (DCTs) with patients at the heart of our approach.
We are always available for a conversation.