The product connects to clinical notes, AI scribe outputs, or EHR data and automatically surfaces proactive insights during or after patient visits. It prioritizes decision prompts, missing information, follow-up tasks, and patient-specific risk signals so clinicians can act without digging through raw documentation.

AI clinical documentation is reaching large-scale adoption, creating a new layer of structured and semi-structured clinical data. Companies are now explicitly hiring to ship AI-native features that convert that data into proactive decision support.