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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.

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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

Supplementary Appendix (aioa2500973_appendix.pdf)
Disclosure Forms (aioa2500973_disclosures.pdf)
Data Sharing Statement (aioa2500973_data-sharing.pdf)