AI can be applied to patient data in real time, allowing medical reviewer teams to actively monitor patient safety, with the AI alerting medical review teams to identify potential adverse events (AEs), data anomalies, critical issues for patients on treatment, and more.
Related Posts
Patient Centricity: The Journey Matters
- admin
- April 18, 2024
- 0
Bruce Hellman, Chief Patient Officer and Co-Founder, uMotif You’re setting forth on a long journey; you have your bags packed, tickets in hand, and what […]
Focus on Fundamentals for Better Collaboration Across Research Sites and Sponsors
- admin
- April 10, 2024
- 0
Has the explosion of clinical trial technology made study execution too complex? For clinical research sites meeting and treating patients every day, the burden of […]
Utilizing a Large Language Model to Answer Questions From Oncology Patients
- admin
- April 17, 2024
- 0
Image Credit: © Shuo – stock.adobe.com A cross-sectional study recently published on JAMA Network Open analyzed the quality of responses from an artificial intelligence (AI) […]