Electronic Triage System Risk-Stratifies ER Patients

Share this content:
Electronic Triage System Risk-Stratifies ER Patients
Electronic Triage System Risk-Stratifies ER Patients

MONDAY, Oct. 2, 2017 (HealthDay News) -- An electronic triage (e-triage) system based on machine learning can predict the likelihood of acute outcomes, enabling improved patient differentiation, according to a study published online Sept. 6 in the Annals of Emergency Medicine.

Scott Levin, Ph.D., from Johns Hopkins University in Baltimore, and colleagues retrospectively analyzed 172,726 emergency department visits from multiple urban and community hospitals. Outcomes predicted by e-triage for elevated troponin and lactate levels were compared with the Emergency Severity Index (ESI).

The researchers found that e-triage predictions had an area under the curve ranging from 0.73 to 0.92 and demonstrated equivalent or improved identification of clinical patient outcomes versus ESI. For the ≥65 percent of visits triaged to ESI level 3, e-triage provided rationale for risk-based differentiation. E-triage identified more than 10 percent of ESI level 3 patients requiring up triage who had substantially increased risk of critical care or emergency procedure (1.7 percent ESI level 3 versus 6.2 percent up triaged) and hospitalization (18.9 percent versus 45.4 percent, respectively) across emergency departments.

"E-triage more accurately classifies ESI level 3 patients and highlights opportunities to use predictive analytics to support triage decision making. Further prospective validation is needed," conclude the authors.

Several authors have been supported by an award to commercialize e-triage, and Johns Hopkins University has filed a patent application for e-triage.

Abstract/Full Text (subscription or payment may be required)

Share this content:

is free, fast, and customized just for you!




Already a member?

Sign In Now »

Drug Lookup

Browse drugs by: BrandGenericDisease

More in Home

Wait Times Have Improved in VA Health Care System

Wait Times Have Improved in VA Health Care ...

Wait times similar to private sector in 2014 but shorter overall and in some specialties in 2017

Medication Treatment for Substance Abuse Up in Facilities

Medication Treatment for Substance Abuse Up in Facilities

2007 to 2016 saw increase in use of medication treatment, reaching 36.1 percent in 2016

Mindfulness, Stress Linked to Menopausal Symptoms

Mindfulness, Stress Linked to Menopausal Symptoms

Link between mindfulness and symptoms more robust in women experiencing higher stress

is free, fast, and customized just for you!




Already a member?

Sign In Now »