Live transcription
In developmentHands on the patient — not on the pen.
Whisper-based speech recognition is planned (target architecture) for medical vocabulary and low latency. The on-device vs. cloud-fallback split will be assessed during the pilot.
Medical AI analysis & NER
AssistanceTurning speech into medical entities.
Relevant statements on complaints, vitals, medications and allergies are detected, given context and prepared as suggestions.
Field mapping
ConceptFrom words to a protocol.
Detected content is sorted into DIVI, MIND or provider-specific fields. ICD/SNOMED references stay hints, never an autonomous diagnosis.
XABCDE & SAMPLER
Product logicStructure for everyday missions.
Initial assessment and history follow familiar schemes, so teams don't have to learn a new way of thinking.
Measures timeline
PrototypeWhatever happens gets a timestamp.
Measures, medications and changes appear as a time-based sequence and stay traceable for handover and review.
Vitals & ECG context
Target architectureReadings without retyping.
Vitals and ECG context can feed into the record. Hardware integrations are target architecture and are not claimed as finished.
Live translation
PrototypeMake the history understandable.
Multilingual communication supports history-taking; relevant answers can be carried into the record in a structured way.
Human-in-the-loop review
PrincipleResponsibility stays with the team.
No suggestion becomes a record entry without active confirmation. AI assists, humans decide.