TriageGO™
Artificial Intelligence for the Emergency Department
Artificial Intelligence for the Emergency Department
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.
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.
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Questions? Contact Steve Eskenazi at steve.eskenazi@stocastic.com or 860-614-2776.