TIBCO Software Inc. announced the launch of TIBCO Spotfire® Clinical, providing an in-memory, analytics platform on the market that aims to allow clinical development teams to make faster and more accurate decisions. Through visual and interactive exploration of clinical data, Spotfire Clinical® will enable actionable decisions that enhance patient safety, streamline operations and accelerate time to market for new medications and devices.
Clinical development teams can visualize and interact with operational, clinical and safety data in a single interface to support forward-looking decisions. By leveraging the new integrated S+/R statistics and predictive analytics capabilities of the TIBCO Spotfire® Analytics Platform, users will be able to conduct advanced what-if scenarios and analysis to gain insights into data, without the intervention of IT resources or biostatisticians.
“We use TIBCO Spotfire software for analyzing and reviewing operational and medical data on all our clinical trials,” said John Keilty vice president of IT and Informatics, Infinity Pharmaceuticals. “With Spotfire, all our clinical, safety and operational data are available in real time. This enables us to shorten the time between critical development gates, and to meet key milestones sooner while simultaneously managing safety risk.”
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.