15 Minutes
Median Length-of-Stay reduction in the ED [2a]
84 Minutes
Median reduction in time to ICU or OR [2b]
92 Minutes
Median decrease in time-to-hospitalization [2c]
Clinical Decision Support in the Press
Explore the latest advancements in AI and healthcare through this collection of press articles.
The story of
Nearly a decade ago, investigation began on an electronic triage tool through a federally funded collaboration between data scientists, nurses, and physicians at The Johns Hopkins Hospital.
2016: after being implemented in the Emergency Department, the tool was validated, and results published as part of this AHRQ grant. This represented the first clinical decision support (CDS) tool leveraging artificial intelligence (AI) to generate risk-driven acuity level recommendations at triage.
In 2017: the tool (then called E-triage) supplanted the 26-year standard, Emergency Severity Index (ESI) in the Johns Hopkins ED, with overwhelmingly positive results. Later that same year, with support from the NSF, the startup StoCastic was founded by those clinicians, administrators, and researchers involved in the tool’s genesis.
2018: Levin et al. published Machine-learning Based Electronic Triage More Accurately Differentiates Patients with Respect to Clinical Outcomes Compared with the Emergency Severity Index, [https://pubmed.ncbi.nlm.nih.gov/28888332] which solidified risk-based triage as a best practice.
Over the next few years, the Danaher organization entered into several research collaborations with Johns Hopkins and StoCastic to fuel research in risk-predictive ML models.
2022: Danaher acquired StoCastic and the triage technology, now called TriageGO. In doing so, they formed the CDS Business Unit under Beckman Coulter.
2025: TriageGO transitioned to Radiometer in early 2025, complementing the Radiometer suite of Clinical Intelligence software, which also includes Etiometry – a leading clinical intelligence platform for intensive care units (ICU).
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