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Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue?

The intensive care unit (ICU) is a complex environment in terms of data density and alerts, with alert fatigue, a recognized barrier to patient safety. The Electronic Health Record (EHR) is a major source of these alerts. Although studies have looked at the incidence and impact of active EHR alerts,...

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Autores principales: Kizzier-Carnahan, Vanessa, Artis, Kathryn A., Mohan, Vishnu, Gold, Jeffrey A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820226/
https://www.ncbi.nlm.nih.gov/pubmed/27331600
http://dx.doi.org/10.1097/PTS.0000000000000270
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author Kizzier-Carnahan, Vanessa
Artis, Kathryn A.
Mohan, Vishnu
Gold, Jeffrey A.
author_facet Kizzier-Carnahan, Vanessa
Artis, Kathryn A.
Mohan, Vishnu
Gold, Jeffrey A.
author_sort Kizzier-Carnahan, Vanessa
collection PubMed
description The intensive care unit (ICU) is a complex environment in terms of data density and alerts, with alert fatigue, a recognized barrier to patient safety. The Electronic Health Record (EHR) is a major source of these alerts. Although studies have looked at the incidence and impact of active EHR alerts, little research has studied the impact of passive data alerts on patient safety. METHOD: We reviewed the EHR database of 100 consecutive ICU patient records; within, we assessed the number of values flagged as either as abnormal or “panic” across all data domains. We used data from our previous studies to determine the 10 most commonly visited screens while preparing for rounds to determine the total number of times, an abnormal value would be expected to be viewed. RESULTS: There were 64.1 passive alerts/patient per day, of which only 4.5% were panic values. When accounting for the commonly used EHR screens by providers, this was increased to 165.3 patient/d. Laboratory values comprised 71% of alerts, with the remaining occurring in vitals (25%) and medications (6%). Despite the high prevalence of alerts, certain domains including ventilator settings (0.04 flags/d) were rarely flagged. CONCLUSIONS: The average ICU patient generates a large number of passive alerts daily, many of which may be clinically irrelevant. Issues with EHR design and use likely further magnify this problem. Our results establish the need for additional studies to understand how a high burden of passive alerts impact clinical decision making and how to design passive alerts to optimize their clinical utility.
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spelling pubmed-58202262019-09-01 Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue? Kizzier-Carnahan, Vanessa Artis, Kathryn A. Mohan, Vishnu Gold, Jeffrey A. J Patient Saf Original Articles The intensive care unit (ICU) is a complex environment in terms of data density and alerts, with alert fatigue, a recognized barrier to patient safety. The Electronic Health Record (EHR) is a major source of these alerts. Although studies have looked at the incidence and impact of active EHR alerts, little research has studied the impact of passive data alerts on patient safety. METHOD: We reviewed the EHR database of 100 consecutive ICU patient records; within, we assessed the number of values flagged as either as abnormal or “panic” across all data domains. We used data from our previous studies to determine the 10 most commonly visited screens while preparing for rounds to determine the total number of times, an abnormal value would be expected to be viewed. RESULTS: There were 64.1 passive alerts/patient per day, of which only 4.5% were panic values. When accounting for the commonly used EHR screens by providers, this was increased to 165.3 patient/d. Laboratory values comprised 71% of alerts, with the remaining occurring in vitals (25%) and medications (6%). Despite the high prevalence of alerts, certain domains including ventilator settings (0.04 flags/d) were rarely flagged. CONCLUSIONS: The average ICU patient generates a large number of passive alerts daily, many of which may be clinically irrelevant. Issues with EHR design and use likely further magnify this problem. Our results establish the need for additional studies to understand how a high burden of passive alerts impact clinical decision making and how to design passive alerts to optimize their clinical utility. Lippincott Williams & Wilkins 2019-09 2016-06-22 /pmc/articles/PMC5820226/ /pubmed/27331600 http://dx.doi.org/10.1097/PTS.0000000000000270 Text en Copyright © 2016 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Original Articles
Kizzier-Carnahan, Vanessa
Artis, Kathryn A.
Mohan, Vishnu
Gold, Jeffrey A.
Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue?
title Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue?
title_full Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue?
title_fullStr Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue?
title_full_unstemmed Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue?
title_short Frequency of Passive EHR Alerts in the ICU: Another Form of Alert Fatigue?
title_sort frequency of passive ehr alerts in the icu: another form of alert fatigue?
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820226/
https://www.ncbi.nlm.nih.gov/pubmed/27331600
http://dx.doi.org/10.1097/PTS.0000000000000270
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