Evidence map›Paper›PMID 41616031›Full record

ArticlePloS one2026

Aligning cardiac monitoring with American Heart Association Guidelines: Impact on utilization, hemodynamic monitoring, and outcomes.

Brian Hilliard, Tanvi Mehta, James Grace, Deborah L Pestka, Nicholas E Ingraham, Timothy Beebe, Christopher Tignanelli, Genevieve B Melton, Nathan Shippee, Joseph S Koopmeiners and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Brian HilliardDepartment of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.
Tanvi MehtaDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.
James GraceDepartment of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.
Deborah L PestkaDepartment of Surgery, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.ORCID https://orcid.org/0000-0001-5096-1991
Nicholas E IngrahamDepartment of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.ORCID https://orcid.org/0000-0002-0292-0594
Timothy BeebeCenter for Learning Health System Sciences, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.
Christopher TignanelliDepartment of Surgery, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.
Genevieve B MeltonDepartment of Surgery, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.
Nathan ShippeeDivision of Health Policy Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.
Joseph S KoopmeinersDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.
Michael UsherDepartment of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America.

Funding

Identifying Areas to Improve ICU Outcomes through Provider VariationK23HL166783 · NHLBI · UNIVERSITY OF MINNESOTA · PI Nicholas E Ingraham · 2023 to 2026
$645k
NHLBI NIH HHS K23 HL166783
6 · The paper itself

Abstract

backgroundOveruse of continuous cardiac monitoring can lead to poor patient experience, increased costs, and decreased efficiency. Because significant variation in continuous cardiac monitoring ordering exists, implementation strategies that promote care in alignment with practice standards and an examination of use cases that fall outside of standards are needed. The purpose of this study, therefore, was to evaluate if implementation of American Heart Association (AHA) practice standards on continuous cardiac monitoring could reduce utilization without jeopardizing patient safety.

methodsWe conducted a prospective pre-post study including a 2 year prospectively collected baseline against a 10-month post intervention period within a 10-hospital health system. An electronic health record (EHR) order set was implemented to align care with AHA continuous cardiac monitoring practice standards. We compared continuous cardiac monitoring utilization, adherence to standards, as well as clinical outcomes including mortality and length of stay. Finally, we investigated the rate and impact of hemodynamically significant events (hypotension, bradycardia, and tachycardia) before and after the intervention.

resultsWe compared 117,814 hospitalizations pre-implementation against 49,006 post implementation finding significant reductions in total telemetry use, and no significant change in outcomes. Overall, patients with telemetry use outside of standards had higher mortality, longer length of stay, and higher readmission rates. The intervention was associated with a higher rate of hypotensive events which occurred off cardiac monitoring. This was not associated with worse outcomes.

conclusionsAn EHR tool to align care with continuous cardiac monitoring practice standards safely reduced overall continuous cardiac monitoring utilization. Use outside of practice standards persisted and was primarily focused on monitoring for potential hemodynamic instability. We found no evidence that continuous cardiac monitoring was associated with improved outcomes in unstable patients. Continuous cardiac monitoring for potentially unstable patients can likely be replaced for non-cardiac indications with continuous heart rate monitoring.

Indexed as

Hemodynamic MonitoringAgedAmerican Heart AssociationElectronic Health RecordsFemaleHemodynamicsHumansLength of StayMaleMiddle AgedPractice Guidelines as TopicProspective StudiesTelemetryUnited States

Identifiers

PMID41616031
PMCPMC12858011

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.