INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• Innovations In Clinical Trial Imaging – 2020 And Beyond

  Advancements in clinical trial imaging are largely due to the application of Artificial Intelligence (AI) and Machine Learning (ML) to imaging systems and data platforms. Automation is improving virtually every stage of the imaging workflow. Sponsors can benefit from improved compliance with privacy regulations, stronger data quality controls, more accurate and efficient imaging reads, and advanced data analysis for improved decision making. The following paper outlines some of these advancements that are in various stages of development, some of which are available today and others expected to be in operation in the near future.

• Clinical Relevance Of Measuring Respiratory Rate

  This paper outlines the importance of measuring respiratory rate and explains how respiratory rate is assessed from photoplethysmography. New technology now enables a wrist-worn wearable device that measures and provides respiratory endpoints including respiratory rate and resting respiratory rate.

• Adapting To The Medical Monitor: Driving Tech Adoption In Clinical Analytics

  The reasons behind the physician monitors’ reluctance, and what technology needs to offer to convince monitors their work can be more efficient — quickly detecting safety signals and speeding time to submission.

• Harness Site-Based eISF For Remote Site Access And Monitoring

  The ability to access and collaborate with a research site is essential to the success of every study. A disconnected mix of on-site visits, email communications, and portals restrict site access and document exchange for Sponsors and CROs alike. Read how remote site access, source document review/verification and streamlined workflows transforms essential clinical trial processes.

• The Evolution Of Risk Management In Clinical Trials

  The cloud has made anywhere/anytime, centralized monitoring (adaptive-on-site and off-site) of all risk-related trial factors a seamless reality. Looking ahead, the cloud can integrate centralized monitoring, risk management measures, and predictive analytics. It can also create risk repositories, to keep trial costs in check and optimize better quality results for life saving therapies.

• What Makes A Good Data Manager?

  The shift from on-site monitoring to remote monitoring has given the data manager an increased responsibility for looking at the data in real time and to allow decisions to be made on a site and patient level on an ongoing basis. This article discusses what makes a great data manager in today’s drug development environment.

• Importance And Requirements Of Study Results Posting

  In addition to laws requiring disclosure of clinical trial results, the public also demands this information. TrialScope Chief Strategy Officer Thomas Wicks explains why sponsors should share study results.

• Fusing Specifications And Design For Data Collection Casebooks With Veeva Vault EDC

  Learn how data management teams at ICON, Bioforum, and Vertex Pharmaceuticals are creating the spec and casebook in a single step, reducing study build times and effort by over 50%.

• The Michael J. Fox Foundation For Parkinson’s Research Works With Service Provider To Remove Reimbursement And Travel Obstacles For Clinical Study Participants

  In 2010, MJFF launched a large-scale clinical study conducted at a network of clinical sites around the world focused on identifying and validating Parkinson’s disease biomarkers. The study realized it needed a new way to ensure that participants were remaining engaged throughout the long protocol and that the experience was as seamless as possible for both the volunteers and the site coordinators. They were able to source a solution to support patient-centricity, as well as study site efficiency.