video1.0<iframe src="https://www.loom.com/embed/8ee78038c11d4a7f88bb59f933b5019a" frameborder="0" width="1796" height="1347" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13471796Loomhttps://www.loom.com13471796https://cdn.loom.com/sessions/thumbnails/8ee78038c11d4a7f88bb59f933b5019a-00001.gif98.63333333333333In this video, I introduce our MVP version 2.0 of the Slow Disconnect AI platform. We have developed a patient identification AI that combines behavioral science and medical insights retrieval. I demonstrate how the platform allows us to view a list of currently active trials and find eligible patients. The backend pipeline runs to retrieve eligible patients from our FHIR servers, which usually takes only a few minutes compared to weeks or months conventionally. I also show how we can delve deeper into understanding why and how patients are eligible, including their medical history, medications, allergies, and conditions. This feature aims to condense the patient's medical history into a summary for faster decision-making. Please watch the video to learn more about our exciting new features!