The clinical trials sector is heavily invested in technologies that track how studies unfold. But, putting that information to good use requires turning real-time visibility into actionable data. Until recently, use of BI in clinical trials has been far from commonplace. But that is beginning to change, driven largely by a need to revamp how studies are conducted in today’s ultra-competitive global marketplace.
Our recent Oracle Health Sciences Connect 2019 event was very inspiring in scope and quality of ideas exchanged. Nearly 300 customers from life sciences and healthcare sectors attended discussions on topics including safety, clinical trial operations, data management, and the future of clinical trials, study startup, and more. They learned about how the newest advances in clinical technology -- such as AI in case management and digital clinical trials -- could help them to...
Today, May 20, is Clinical Trials Day, a time set aside to celebrate the people who conduct clinical trials, and thank the patients who participate in them. It's a day to acknowledge all those who contribute to improving public health and extending the goals of clinical research.
This piece takes a look at the recent number of high-level industry trends emerging around clinical trial business processes. Learn more about advances in protocol development enrollment planning, descriptive analytics/AI, and outsourcing.
Nurses play a vital, yet often, unseen role in clinical research. They bring their professional training, problem-solving skills, and knowledge of patients to a wide range of tasks. In recognition of National Nurses Week, we asked two long-time, clinical research nurses to tell us about their work, how it has changed over the years with advances in technology, and why they love what they do.
The world of digital clinical trials is starting to move from baby steps to a walking toddler This evolution in maturity is encouraging. Learn more about a this new trend from new players employing connected devices, virtual trials, and real world data analysis.
Over the last 10 years, the one area that’s had limited standardization is the clinical trial management system (CTMS). Though many CTMS areas may not be possible to standardize, some -- subject and site status terminology, milestone tracking, protocol deviations, and more -- could. Learn how standardization in CTMS can help R&D.
For years, the laborious step of standardization has ranked as the lengthiest of clinical trial study startup activities, and recent data suggest it remains the primary cause of site activation failure. Breaking down key benchmarks into their component sub-steps provides more accurate identification of where these bottlenecks may occur. Measuring sub-steps enables building predictive models which can condense contract cycle times and optimize trial operations. Learn more at...