Self-Triage is a vital tool for enhancing patient experience, driving access, acquisition and evidence-based scheduling. Isabel’s Self-Triage engine delivers a predictable and efficient experience through any channel helping patients find the right care with the right urgency.

Isabel’s unique AI technology based on machine learning, enables patients to get triage advice in under a minute asking just 11 questions! User drop off rates for Isabel are less than 5% compared to 60-80% for decision tree symptom checkers.

Our comprehensive API or native browser version enables rapid deployment of Isabel Self-Triage into a wide range of applications such as websites, conversational AI, non-clinical agent call centers, global health information sites, find a doctor sites etc.

Isabel Healthcare Inc. was founded in 2000 by Jason Maude and is named after Maude’s daughter who almost died after a potentially fatal illness was not recognized. The Isabel engine is the only AI system utilizing Curated Machine Learning and true Natural Language input. Isabel is recognized as the broadest, most accurate tool available for both clinicians and consumers. Isabel Professional is used by clinicians worldwide to build and broaden their differential and improve diagnosis performance of frontline clinicians. The Isabel Symptom Checker/Care Direction patient engagement platform can be integrated into various patient experience workflows (patient portals, home pages, apps, chat/voice, etc.) creating the digital “front door” for patients.