TriageGO™

Artificial Intelligence for the Emergency Department

A New Decision Support Tool That Helps Your Staff Improve Triage Accuracy

80-year-old Sam Kowalski* arrived in the ER after a fall at home. Mr. Kowalski appeared healthy, and his triage nurse was about to assign him to level 3 when she looked at her EHR screen and saw that TriageGO™ recommended level 2.

TriageGO™ recognized that Mr. Kowalski was at increased risk for an adverse outcome due to his age, mild bradycardia and a history of A-Fib. The nurse agreed with this logic, and triaged him to level 2.

He was roomed immediately. His physician quickly discovered a scalp hematoma and learned he was on a blood thinner. A CT scan revealed a large subdural hematoma with midline shift, and he was taken to the OR for an emergency surgery right away.

*Name, image, and symptoms have been altered to protect personal identity and medical information.

How It Works

Once a nurse enters patient data TriageGO™ scans records of hundreds-of-thousands of anonymized E.D. visits to your facility and combines them with insights derived from millions of additional E.D. visits across other facilities using TriageGO™. Using AI pattern recognition it identifies groups of similarly presenting patients, their treatments and outcomes and makes a triage level recommendation (1-5).

It also provides some brief notes about the reason(s) for the recommendation. TriageGO™ recommends but never makes acuity assignments. The examining nurse enters the triage level (1–5) exactly as he/she has always done.

Ready to see a demo? Click Here

Real-World Results — Unclogs Your Waiting Room

TriageGO™ is a new Artificial Intelligence decision support tool currently in-use at major US Hospitals including Yale New Haven and Johns Hopkins
Improved triage accuracy and consistency from 50-60% to 80-90%
Successful roll-out within individual Emergency Departments and multi-site Health Systems

Triage Acuity Assignment Substantially More Accurate Than Your Triage Care Team Alone

Breaks the logjam. Most E.D.’s triage 60–70% of their patients to Level 3, clogging the E.D.
Speed time-to-emergent-care for high-risk patients and fast track low-risk patients
Saves money — Annual cost savings of $750K per 60,000 E.D. visits

Seamless Integration

Integrates directly into your current EHR acuity section (e.g., Epic, Cerner)
No add-ons — no alerts— no additional keystrokes — no learning curve
Fast implementation — 3 weeks to go-live, 30 minutes of nurse familiarization

What People Are Saying

“TriageGO™ as well as clinical judgment and experience made the perfect combination. The objective nature of the tool allows us to consider risk instead of resources. It has enhanced our practice and we now teach it exclusively to our new triage nurses.”
Sophia Henry, MS, RNAdult E.D. Triage Coordinator, Large Academic Medical Center, Baltimore, MD

Published Articles

Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index

Machine-Learning-Based Electronic Triage: A Prospective Evaluation

An Electronic Emergency Triage System to Improve Patient Distribution by Critical Outcomes

Let Us Wow You — It’ll Only Take 20 Minutes

Please fill out the form below to set up a 20 minute remote demo with Stocastic’s CEO, Eric Hamrock, and CTO, Scott Levin, PhD.

Questions? Contact Steve Eskenazi at steve.eskenazi@stocastic.com or 860-614-2776.