Integrating seamlessly into your EHR, Choreo-ED leverages real-time patient data to anticipate an admission, helping care teams take action hours in advance. Choreo-ED is built around a robust deep- learning model that evaluates patient data from the moment an ED encounter begins. The model provides a real-time Anticipated Decision to Admit (ADTA) score within your EHR as soon as new encounter data arrives, providing valuable insights while fitting naturally into your existing workflow. Once the ADTA score exceeds a designated threshold, Choreo-ED alerts hospital staff, allowing them to proactively initiate critical steps of the admission process.