inVibe’s Labs introduces TrialPulse, a technology platform that helps integrate patient insights within the drug development process.
TrialPulse brings patient insights to clinical teams across six important areas, including the patient experience, disease burden, unmet needs, trial design, recruitment, and retention optimization. The innovative market research platform works by virtually recruiting a sample of real patients similar to the study's inclusion/exclusion criteria, then providing them with relevant stimuli (e.g., protocol summaries, e-consent forms, recruitment materials), and prompting them to provide candid feedback via inVibe's proprietary automated voice response (AVR) interview platform.
TrialPulse works by collecting all of the patient voice data, then analyzing it with a combination of human linguistic expertise and advanced machine learning technology, explained by this video. The interactive, searchable, filterable online portal enables our clients to listen to the actual voice responses, share audio clips with other team members and researchers, and/or simply review the high-level executive summary and visual reports created by inVibe analysts.
More on TrailPulse
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.