ICON Selects Oracle Health Sciences LabPas to Automate its Phase I Clinic Processes
ICON has selected the Oracle Health Sciences LabPas solution, delivered via the Oracle Health Sciences Cloud, to support subject recruitment, data capture, and analysis, and enhance clinical workflows for its Phase I clinical trials.
Oracle Health Sciences LabPas will help ICON automate its early phase clinical trial processes and better integrate Phase I data with its existing clinical data capture and management systems.
By using Oracle Health Sciences LabPas to manage the clinical workflow and provide real-time access to data, ICON can improve the efficiency of Phase I research and provide more accurate data to the sponsor faster.
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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.
Patient Engagement Platform Checklist
November 22nd 2024Modern clinical trials are more complex than ever, and one significant reason is the increased focus on patient engagement. Incorporating a patient engagement platform into your clinical trial enhances the patient experience and can lead to more successful trials with stronger, more reliable outcomes. We put together this helpful checklist of key features to look out for when choosing a platform for your study.
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.
