RBM Case Studies: AI-ML Implementation and Shifts in Clinical Operating Models – Defining monitoring of the future

Register free: http://www.appliedclinicaltrialsonline.com/act_w/study_quality

​Event Overview:

• 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

Register free: http://www.appliedclinicaltrialsonline.com/act_w/study_quality