Tuesday, November 30th, 2021 at 11am EST
Current changes in technology and the impact of the COVID pandemic has greatly accelerated the adoption of RBM methodology and AI/ML assisted risk analysis.
How are these changing directly impacting your future clinical trials as the industry is reorienting itself around a new normal with regards to monitoring and insights provided by integrated data reviews.
Current changes in technology and the impact of the COVID pandemic has greatly accelerated the adoption of RBM methodology and AI/ML assisted risk analysis. How are these changing directly impacting your future clinical trials as the industry is reorienting itself around a new normal with regards to monitoring and insights provided by integrated data reviews. The webinar will cover:
Monitoring – SDV reduction/remote SDM…How we monitor clinical trials is currently going through major changes in the wake of technological advances but also due to the ongoing pandemic. How can we all realign on the processes to ensure we deploy the most suitable techniques for the tasks at hand?
Data integration…To make the most of the data being generated on clinical trials today the capacity for direct data integration is key to allow for a streamlined and productive use of insights generated from this data
AI/ML…Artificial Intelligence and Machine Learning are broad concepts, but in the world of clinical research a significant amount of work is done to analyze and identify risks—work that could directly benefit from utilizing AI/ML approaches to save time and improve quality while keeping the human component at its core
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
See how clinical monitoring is evolving to meet the ever-changing clinical trials landscape and technological innovation
Understand why integrated data and systems are key to current clinical trials and even more so the trials of the future
Know what AI/ML is capable of and how to start harnessing the efficiencies in clinical trials