Mobile Technology for Clinical Operations: Challenges and Opportunities

Jay Brendan Smith

Abstract

Abstract On the ground best practices for the use of mobile technology within e-clinical with a focus on practical applications available now for clinical operations and data management. Hear real life implementations and learnings from the field. As mobile becomes more and more common, dialog must focus on actual experiences during the conduct of trials so that clinical teams can make informed decisions on the deployment, security, and usage of mobile applications at various stages of clinical development. In this discussion, the audience will hear real stories from clinical professionals and their on the ground experiences with mobile applications. The audience will walk away with a deeper understanding of the benefits and limitations of mobile applications in clinical operations and better enable them to adopt mobile applications with practical expectations. Attendees will be guided on the practical use of these technologies. They will learn to determine the use cases that are most relevant and applicable in Clinical Operations. Biography: Jay Smith is Head of Product for TransPerfect’s Trial Interactive E-Clinical platform. Jay brings 25 years of product management, consulting, and engineering experience across verticals such as life sciences, enterprise software, healthcare, government, entertainment and manufacturing. Previously, Jay has led product efforts for Medidata, Sparta Systems, Cureatr, VenueNext, Apogy, and Liquent. Jay holds an MBA from Villanova University and a degree in Computer Science and Physics from Gettysburg College.             Speaker Publications:  “Analysis of Multiple Samples Using Multiplex Sample NMR: Selective Excitation and Chemical Shift Imaging Approaches”; Analytical Chemistry / 2001 / 73(11):2541-6 “Variable Temperature Study of the Cross-Relaxation Dynamics in the Hyperpolarized Xenon-Induced Enhancement of Surface Nuclei”; The Journal of Physical Chemistry B / 2001 / 105(7):1412-1421 “Cross-relaxation dynamics between laser-polarized xenon and surface species using a simple three-spin model”; Chemical Physics Letters / 2000 / 317(1-2):165-173   10th International Conference on Clinical Research and Clinical Trials; Amsterdam, Netherlands- March 18-19, 2020. Abstract Citation: Practical ClinOps Applications of AI and Machine Learning – Real-World Use Cases, Euro Clinical Trials 2020, 10th International Conference on Clinical Research and Clinical Trials; Amsterdam, Netherlands- March 18-19, 2020 (https://clinicaltrials.pharmaceuticalconferences.com/abstract/2020/mobile-technology-for-clinical-operations-challenges-and-opportunities)