Texas Tech University Health Sciences Center (TTUHSC) and Deep 6 AI announced a collaboration, collaborating to integrate artificial intelligence (AI) within TTUHSC's electronic medical record (EMR) system.
TTUHSC will use Deep 6 AI to match patients to their clinical trials in real time. This process will allow researchers to find the right patients for their trials, which will reduce the workload on their staff. By using these AI tools, TTUHSC researchers will ultimatey give more patients access to participate in clinical trials and will be able to use any resulting therapies to treat patients.
Deep 6 AI uses natural language processing to search through structured and unstructured EMR data points, such as physician notes, lab reports, outpatient notes, radiology reports, genomics results, and pathology reports, to match patients to the ideal clinical trials. This process simplifies patient recruitment and allows administrators to focus on patient care and managing the trials.
Texas Tech University Health Sciences Center Partners with Deep 6 AI to Launch an AI Program for Clinical Trials. (2023, August 1). Cision PR Newswire.
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.