OpenMed begins evaluating Jev for medical AI: local spans and context, hosted Jev assigns status, code controls the draft, and every decision links to its source.
Starting today, we will evaluate Jev for medical AI. Finding “asthma” is one job. Knowing it belongs to resolved childhood history is another. OpenMed supplies local spans + context; hosted Jev assigns status; code controls the draft. Every decision links to its source.
During live clinical consultations, an ambient scribe periodically feeds transcripts to Jev, which traverses a medical ontology to classify symptoms, update the differential diagnosis, suggest treatments, and flag red flags in real time.
The author demonstrates how to triage a patient to the right doctor using only TypeSafe AI's Jev model and some question-asking code, noting that no LLM is used during the conversation.
A developer shares building a calorie tracking app with Jev, highlighting its instant experience.
