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A very insightful article surrounding the RBQM space. Within the 2nd graph, duplicate "professional" participant detection seems to be a top priority. Detection is beneficial but by that time, it's too late. The participant has been enrolled, dosed, must be dropped, re-recruited, etc. It's a significant waste of time & money and risk to patient safety & data quality. Prevention of duplicate participants should be the goal and that is why implementing Verified Clinical Trials combined with your RBQM strategy is the move.
In the world of clinical trials, technology is a game-changer for driving efficiency and effectiveness. A recent article explores the transformative impact of Risk-Based Quality Management (RBQM) technologies, revealing key trends shaping the future. These include the integration of AI and Machine Learning to enhance data monitoring and predictive analytics, adoption of cloud-based platforms for real-time data access and collaboration, and IoT and wearable integration for streamlined data collection and patient monitoring. Additionally, enhanced data security protocols and regulatory compliance tools are becoming indispensable in global clinical research. Check out the full insights on how RBQM technologies are revolutionizing the landscape of clinical trials. #ClinicalTrials #RBQM #HealthTech #Innovation Kudos to Ken Getz at Tufts for this insightful research!
RBQM Technology Trends: Shaping the Future of Clinical Trials
https://www.clinicaltrialvanguard.com
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