Evidence map›Paper›PMID 28099789›Full record

ArticleJournal of healthcare risk management : the journal of the American Society for Healthcare Risk Management2017

EHR-related medication errors in two ICUs.

Pascale Carayon, Shimeng Du, Roger Brown, Randi Cartmill, Mark Johnson, Tosha B Wetterneck

Abstract read
In one paragraph

Article in Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Human factors methods for designing safe health information technology: what do the experts think?Journal of the American Medical Informatics Association : JAMIA · 2026
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  10. The doctor, the patient, and the computer.Clinical hematology international · 2024
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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

6 authors.

Pascale CarayonUniversity of Wisconsin-Madison.
Shimeng DuUniversity of Wisconsin-Madison.
Roger BrownUniversity of Wisconsin-Madison.
Randi CartmillUniversity of Wisconsin-Madison.
Mark JohnsonUniversity of Illinois at Urbana-Champaign.
Tosha B WetterneckUniversity of Wisconsin-Madison.

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
AHRQ HHS R01 HS015274NCATS NIH HHS UL1 TR000427NCRR NIH HHS UL1 RR025011
6 · The paper itself

Abstract

The objective of this study was to describe the frequency, potential harm, and nature of electronic health record (EHR)-related medication errors in intensive care units (ICUs). Using a secondary data analysis of a large database of medication safety events collected in a study on EHR technology in ICUs, we assessed the EHR relatedness of a total of 1622 potential preventable adverse drug events (ADEs) identified in a sample of 624 patients in 2 ICUs of a medical center. Thirty-four percent of the medication events were found to be EHR related. The EHR-related medication events had greater potential for more serious patient harm and occurred more frequently at the ordering stage as compared to non-EHR-related events. Examples of EHR-related events included orders with omitted information and duplicate orders. The list of EHR-related medication errors can be used by health care delivery organizations to monitor implementation and use of the technology and its impact on patient safety. Health information technology (IT) vendors can use the list to examine whether their technology can mitigate or reduce EHR-related medication errors.

Indexed as

Electronic Health RecordsIntensive Care UnitsMedication ErrorsDatabases, FactualMedical InformaticsPatient SafetyRisk Management

Identifiers

PMID28099789
PMCPMC8311113

What OpenQuestion holds

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Registered trials

None linked

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.