*** Monday, April 5, 2021 at 11am EDT *** Risk-based monitoring (RBM) continues to evolve and adapt to industry needs. Understand how innovative technologies and methodologies are driving new levels of study quality and changing clinical monitoring and how artificial intelligence, machine learning, predictive and advanced analytics are improving patient safety and overall study quality and operational efficiencies. ***On demand available after final airing until Apr. 5, 2022***
Highlight the adoption and implementation trends in risk based monitoring models as a key mitigation strategy during and post pandemic
Share learnings from practical models using predictive and advanced analytics help reduce white noise/false positives in signal detection deployed for RBM
Provide insights on where machine learning and artificial intelligence models have potential application in clinical monitoring to address risks based on study design and patient population
Register now to hear the latest capabilities that are changing how clinical trials are being delivered with better, more timely patient insights enhancing patient safety and improving overall study quality.
3 Key take-aways:
Realize the impact RBM can have on study quality, patient safety and cost of clinical trial conduct while pivoting to remote monitoring strategies to mitigate site accessibility issues from pandemic
Understand how innovative technologies and methodologies are driving new levels of study quality and changing clinical monitoring within a variety of operational services—from study delivery to enterprise solutions
Hear how artificial intelligence, machine learning, predictive and advanced analytics are improving patient safety and overall study quality and operational efficiencies
Speakers: Dr Rajneesh Patil, Vice President, Clinical Operations, IQVIA
Michael Jones, Vice President, Clinical FSP Solutions Client Engagement, IQVIA
Time and Date: Monday, April 5, 2021 at 11am EDT
On demand available after final airing until Apr. 5, 2022