Skip to content

Why chest pain triage

A common symptom, a rare emergency, and hours spent telling them apart

Chest pain fills emergency departments and clinics, and most of the people presenting are not having a cardiac event. Finding the few who are still means serial blood tests, observation and bed time for everyone. TIIM Healthcare exists to give clinicians an objective risk estimate in minutes, wherever the patient presents.

The problem in numbers

The scale of the problem

Every figure below links to the study or report it comes from.

Where the decision is made

The same question, three very different settings

Whether a patient is in a tertiary emergency department, a GP's consulting room or a rural clinic, the question is the same: can this person safely go home, or do they need urgent work-up?

Our approach

Make the safe decision the fast one

aiTriage is built to answer that question at the point of triage: a rapid, non-invasive risk estimate that reduces unnecessary investigation and directs urgent attention to the patients who need it. Our goal is to make it a standard clinical pathway, particularly where resources are limited.

  1. 01

    Speed and simplicity

    A five-minute ECG recording is enough. Machine learning models return a MACE risk estimate within minutes, with no additional procedures for the patient.

  2. 02

    Accuracy validated in peer-reviewed studies

    In peer-reviewed studies, our heart rate variability models have been evaluated against established risk scores such as TIMI, and aiTriage has been validated as comparable to HEART without a troponin test and more accurate with one.

  3. 03

    Fits existing workflows

    aiTriage runs on a tablet with a portable ECG device and slots into existing triage steps, from a busy ED to a remote clinic, with minimal setup.

Explore the aiTriage platform
The aiTriage application on a tablet, recording a 12-lead ECG for a MACE risk assessment

Where we are today

From research programme to cleared medical device

See how aiTriage answers the question

Walk through a live assessment with our team, or start with the peer-reviewed evidence behind the platform.