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A Review of Cloud Technology & Solutions that Solve Clinical Trial Challenges

  October 25, 2022  
Xtalks, online
2022 -12-12

Ever thought about how cloud technology could solve the challenges in conducting clinical trials and bring them closer to patients?
In this webinar, the featured speakers will present a cloud technology approach and their experiences in bringing even more technology into the industry. Cloud solutions of different service providers and Clinscience’s Genius Suite Applications can improve patient recruitment, minimize patient drop-out rate resulting in quicker turnarounds, better quality data and at the end of the day, improve cost efficiencies for clinical studies.
The speakers will discuss the benefits of:

Cloud technology vs. on-site infrastructure
Event-driven architecture and applications for data-driven decisions
How cloud providers like Amazon AWS and Microsoft Azure in clinical trials enable out-of-the-box solutions
Voice eConsent — how this service within cloud infrastructure can improve patient recruitment
This new approach and experience used within multiple industries will benefit daily work as a sponsor, biotech company, CRO and research site and bring researchers closer to decentralized trials. In addition, data streams and IoT will be cleaner, more efficient and less prone to human error, as everything is interconnected for multiple stakeholders within the clinical trial process.
Adopting cloud technology solutions benefits the patient — less paperwork, fewer site visits and less hassle in participating in a clinical trial. With more transparency, cleaner data and greater access to information needed for multiple stakeholders in the clinical trial process, they save time and improve the performance of a clinical study.
Register for this webinar, during which three specialists will discuss their perspective on bringing cloud technology and other expanded solutions in clinical trials to life.
Organized by: Xtalks
Invited Speakers: Peter Rottmann, Chief Technology Officer, Clinscience Daniel Kowalski, Head of Data Science and Technology, Clinscience
Deadline for Abstracts: 2022 -12-12
Registration: Free registration
E-mail: ajuurinen@xtalks.com
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