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HIGHLIGHTS
- Technological advancements have also impacted healthcare and drug development, with digital analytics revolutionizing clinical trials. Digital analytics has enabled the examination of extensive datasets, the early detection of trends and patterns, data inconsistencies, and outliers, and the leveraging of big data. This enhances real-time data analysis, boosts monitoring, and speeds up trials.
- Research processes have become part of SaaS-based platforms with AI. This has helped stakeholders like clinical and medical monitors ensure patient safety and data integrity. However, this reliance on 2D visualizations has limited data analysis capabilities.
- In this paper, we explore the development of an AR/VR solution for visualizing multi-dimensional data in interactive 3D objects. With monitors exploring sites on a 3D globe, this technology enhances monitors’ efficiency and oversight capabilities for more proactive source data verification.
Overview
Technological advancements have been disrupting sectors worldwide, including healthcare and drug development. Digital analytics has revolutionized clinical trials by examining extensive datasets, enabling early detection of trends and patterns, data inconsistencies, and outliers. Leveraging big data enhances real-time data analysis, boosting monitoring and speeding up trials. SaaS-based platforms with AI have streamlined research processes, aiding stakeholders like clinical and medical monitors in ensuring patient safety and data integrity. However, reliance on 2D visualizations limits data analysis capabilities. Advancements in augmented and virtual reality offer immersive 3D data visualization opportunities.
This paper presents the development of an AR/VR solution for visualizing multi-dimensional data in interactive 3D objects. Monitors can explore sites on a 3D globe, enhancing trend and anomaly detection. This technology improves monitors' efficiency and oversight capabilities for more proactive source data verification. It represents a step toward transforming outdated monitoring processes through extended reality technologies, enhancing clinical trial data quality and efficiency. Finally, we explore implications and future directions for applying AR/VR to improve trial quality, site training, recruitment, and telemedicine.
Read the whole paper here.
About the authors
Image of Saurabh Das
Saurabh Das
Saurabh Das is the product head and project manager at TCS ADD™ and heads TCS ADD™ Research and Innovation. He has over 17 years of experience in product development and managing large program executions. He has multiple patents and publications in reputable journals. He's been a regular speaker at SCDM, SCOPE, and PharmaSUG.
Image of Rajasekhar Gadde
Rajasekhar Gadde
Rajasekhar Gadde is an experienced data scientist and researcher specializing in Generative AI for the life sciences domain. With expertise in AI-driven automation, data science, and AR/VR applications, he is passionate about transforming clinical research through innovative technologies that enhance trial analytics, regulatory compliance, and scientific decision-making.
Image of Sushilkumar Singh
Sushilkumar Singh
Over 18 years of experience in the Clinical Operations Domain and Risk Based Quality Management, with 5+ years in clinical software development and services. Provided Advisory and Strategic Support in building Fist in Industry RBQM solution utilizing Predictive Analytics and Machine Learning for Workload Prediction and Proactive Risk Based Study Management. SAFe POM Certified. Hold's Master’s degree in Clinical Research and bachelor’s degree in chemistry.
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