As AI reshapes healthcare workflows, success will be measured in trust—and that starts with trust in the accuracy of AI-powered documentation. At Abridge, the foundation of trust AI models is in the painstaking work of rigorous scientific exploration.
Medical informaticists have been studying documentation quality for decades, instituting programs to educate doctors and improve documentation quality. Despite these efforts, mistakes are common in documentation and contribute to “medical errors, malpractice claims, and even patient mortality,” according to recent research.
With AI, there is now an opportunity to reduce these errors, even to the point of near-elimination. Abridge AI scientists have recently deployed a novel system for classifying, detecting, and eliminating hallucinations that is six times better than standard AI models.
For the first time ever, hear Abridge Co-Founders and executive leaders Dr. Shiv Rao (CEO) and Zachary Lipton (CTO) in conversation about the Abridge vision for a world free of documentation errors as well as the rigorous scientific work that is driving progress toward that dream.
In this webinar, you will learn:
- Why Abridge invests so heavily in science and how those investments back important product enhancements.
- About the latest Abridge scientific discoveries that have resulted in the most-trusted ambient AI in healthcare.
- What’s next for Abridge’s AI scientists: Abridge is designed by clinicians and for clinicians, meaning that its research is driven by the challenges faced by clinicians and health systems.
-2.jpg?width=120&height=120&name=Shiv%20Rao%20-%20Sarah%20Simon%20(1)-2.jpg)
