Platform · How it works

From a sentence in a report to the right specialist.

Catch the patient, route them toward the right care, and learn from what happened. A clinician approves every step, and every deployment starts in silence.

The loop

Catch, route, learn.

  1. Catch

    A concerning finding appears in a report. The software flags it and shows the sentence behind it.

  2. Route

    The referring clinician sees a suggested next step and qualified specialists nearby, and decides.

  3. Learn

    Identifiers are removed before the record enters the registry, which helps the software improve over time.

  • Clinician approves every step
  • Minimum necessary data
  • Zero-trust architecture

Working with a cancer program

Every deployment starts as a silent pilot.

No disruption to anyone's workflow, no patient affected, and no data leaving where it should be.

  1. Scope

    We agree with a cancer program on what to cover, and on the agreements and oversight each site requires.

  2. Silent pilot

    The software runs in the background under IRB oversight and is checked against known outcomes. Nothing reaches a clinician or a patient.

  3. Launch

    Once the results hold up, suggestions go live for referring clinicians, with training and support.

Data handling

Protected information stays protected.

Patient information is used only inside secured environments covered by agreements with the organizations that hold it, including business associate agreements where HIPAA requires them, and only as long as it is needed to help refer the patient.

Identifiers are cleared before a record is admitted to the registry. The registry helps the software become more accurate over time and, ideally, improve outcomes.

Keep reading

  • Detection

    What the engine reads, what it produces, and the imaging track.

  • Navigation

    The referring clinician’s view, and why suggestions are neutral by design.

  • Registry

    The prospective, outcome-linked record the loop builds.