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Vomediq ECG

AI-assisted ECG analysis for hospitals and clinics.

Vomediq ECG grades, measures and interprets every recording the moment it is stored, so the worklist puts the traces that need a clinician at the top instead of the ones that arrived first. Intervals, axis and findings come from a versioned deterministic engine reading the stored samples — never from a language model — and every study is reviewed, overridden where needed and signed by a named clinician, with the reasoning kept against the record.

The problem it solves

ECG services read a stack in the order it was acquired, measure intervals and axis by hand for every trace, and discover a poor recording only when someone finally comes to read it — so severity is sorted out in each reader's head, and a critical trace can sit behind a normal one.

Capabilities

  • Measurements computed from the samples, with the engine version recorded
  • Worklist ordered by severity, then signal quality — not by acquisition time
  • Quality gated at acquisition, so a poor trace is repeated while the patient is still there
  • Every finding stored with its supporting measurement and the rule that produced it
  • Escalation thresholds configured and owned by your service, with acknowledgement state
  • Review, override and sign-off as separately permissioned acts, bound to a full audit trail
  • Arrives from your existing machines by REST or CSV; signed studies leave over FHIR R4 or HL7 v2.5

Industries

Healthcare

Category: HEALTHCARE. Bigger picture: AI Algo enterprise AI automation.

Related products

  • Vomediq — Voice-first AI clinical operating system.
  • Dr. Angel — AI healthcare guidance and triage.

Official product site: https://vomediq-ecg.app

Request a demo: marketing@aialgo.com.sg