This site uses cookies and related technologies, as described in our privacy policy, for purposes that may include site operation, analytics, enhanced user experience, or advertising. You may choose to consent to our use of these technologies, or manage your own preferences.
Implementation of an AI-Triggered Rapid Response — Association with Mortality
Abstract
Background
Use of a real-time, machine learning–enabled clinical deterioration prediction model combined with an automated rapid response team (RRT) activation could reduce inpatient mortality. The objective was to assess reduction in risk-adjusted inpatient mortality following implementation of the Epic Deterioration Index (EDI) combined with an automated RRT activation in a large regional health system.
Methods
We conducted a quasi-experimental, staggered cohort study using a pre- versus postimplementation design. The setting was a regional health system with 11 acute care hospitals including academic, community teaching, and nonteaching facilities. Participants included adult medical–surgical admissions with an EDI greater than or equal to 60 from October 1, 2022, to August 30, 2024. We evaluated the clinical impact of deploying real-time, targeted electronic health record (EHR) alerts and RRT push notifications; the primary outcome was risk-adjusted inhospital mortality.
Results
The study included 23,132 patients. Mean age was 71.9 years, 51.6% were male, and 51.4% were non-Hispanic white. In total, 10,803 patients (46.7%) were preintervention and 12,329 (53.3%) were postintervention; 5746 postintervention encounters (46.6%) generated a push notification to the RRT, although not all resulted in RRT activation. The postintervention group compared with the preintervention group was associated with increased RRT activations (37.5% vs. 25.3%; absolute difference, 12.2 percentage points [95% confidence interval (CI), 11.0 to 13.4]; adjusted odds ratio, 1.74 [95% CI, 1.61 to 1.88]) and decreased unadjusted inhospital mortality (18.6% vs. 23.1%; absolute difference, −4.5 percentage points [95% CI, −5.6 to −3.5]), without a significant increase in escalations of care (1.1% vs. 1.0%; absolute difference, 0.1 percentage points [95% CI, −0.18 to 0.37]; adjusted odds ratio, 1.34 [95% CI, 0.97 to 1.85]). Risk-adjusted odds of inhospital mortality, accounting for age, comorbidities, hospital type, EDI score, and clustering at the hospital level were lower in the intervention group (adjusted odds ratio, 0.82 [95% CI, 0.74 to 0.91]).
Conclusions
Implementation of the EDI combined with RRT activation was associated with a reduction in risk-adjusted inpatient mortality across different types of hospitals in a large health system.
Are you a member of an institution such as a university or hospital?Learn more about Institutional Access
Notes
A data sharing statement provided by the authors is available with the full text of this article.
Data are not available as data sharing is restricted by RWJBarnabas Health and Rutgers Health patient privacy policy.
Disclosure forms provided by the authors are available with the full text of this article.
We would like to thank the following technical and operational leaders for their key roles in this effort: Robert Adamson, Natalie Randolph, Nancy Holecek, Kennedy Ganti, Jeanne Craft, Jordan Musleh, Cyndee Marvulli, Selena McClinton, Robert Brescia, Bjorn Vanberg, Vincent Metzger, Barbara Boelter, Kenneth Granet, Salvatore Moffa, Michael Loftus, Maninder Abraham, Fariborz Rezai, and hospital chief medical officers, chief nursing officers, rapid response teams, and quality directors.
Supplementary Material
Information & Authors
Information
Published In
NEJM AI
Copyright
Copyright © 2026 Massachusetts Medical Society.
For personal use only. Any commercial reuse of NEJM Group content requires permission.
History
Submitted: August 26, 2025
Revised: May 12, 2026
Accepted: June 4, 2026
Published online: July 29, 2026
Topics
Authors
Metrics & Citations
Metrics
Altmetrics
Citations
Export citation
Select the format you want to export the citation of this publication.