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Related Experiment Video

Updated: May 5, 2026

Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device

Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device

Published on: July 29, 2016

Optimizing Decision Support Alerts to Reduce Telemetry Duration: A Multicenter Evaluation.

Niloofar Latifi¹, Trent Johnson², Amy M Knight³

¹Division of Hospital Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.

Applied Clinical Informatics

|October 23, 2024

Summary

This summary is machine-generated.

Optimized electronic health record (EHR) alerts significantly reduced unnecessary telemetry monitoring duration in high-risk patients. These improved alerts, tailored to patient needs, decreased costs without increasing clinician alert burden.

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Last Updated: May 5, 2026

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Area of Science:

Clinical Informatics
Health Services Research
Medical Device Monitoring

Background:

Telemetry monitoring is essential for high-risk patients but often overused, leading to increased healthcare costs.
Previous studies indicate electronic health record (EHR) alerts can decrease low-value telemetry use, but the specific effective components remain unclear.

Purpose of the Study:

To revise existing EHR Best Practice Advisories (BPAs) to enhance their effectiveness in reducing telemetry duration.
To evaluate the impact of revised BPAs on the alert burden experienced by clinicians.

Main Methods:

A multicenter retrospective study was conducted across three hospitals.
A revised EHR BPA was implemented, featuring patient-specific indications, daytime-only alerts, and embedded discontinuation orders.
Telemetry duration and mean monthly BPA alerts per patient-day were analyzed from October 2018 to December 2021.

Main Results:

The revised BPA reduced telemetry duration by 6.7 hours at JHH/JHBMC and 20.2 hours per hospitalization at HCGH.
The BPA acceptance rate increased significantly from 7.8% to 31.3% post-revision.
A minimal increase in mean monthly BPA alerts per patient-day was observed.

Conclusions:

Optimized EHR BPAs effectively reduce unnecessary telemetry duration.
Tailoring EHR alerts is crucial for improving effectiveness and supporting value-based care initiatives.
The revised BPA strategy minimizes clinician alert burden while optimizing patient monitoring.