Evidence map›Paper›PMID 30291180›Full record

ArticleBMJ quality & safety2019

Application of electronic trigger tools to identify targets for improving diagnostic safety.

Daniel R Murphy, Ashley Nd Meyer, Dean F Sittig, Derek W Meeks, Eric J Thomas, Hardeep Singh

Abstract read
In one paragraph

Article in BMJ quality & safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 6 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

66 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  4. Comparing rates of adverse events detected in incident reporting and the Global Trigger Tool: a systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
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  16. Epidemiology of diagnostic errors in pediatric emergency departments using electronic triggers.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
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6 more citing papers are in PubMed but not listed here.

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.

Daniel R MurphyCenter for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA drmurphy@bcm.edu.
Ashley Nd MeyerCenter for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
Dean F SittigCenter for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.ORCID 0000-0001-5811-8915
Derek W MeeksCenter for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
Eric J ThomasDepartment of Medicine, University of Texas-Memorial Hermann Center for Healthcare Quality and Safety, Houston, Texas, USA.
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.

Funding

Decision Making and Clinical Work of Test Result Follow-up in Health IT SettingsR01HS022087 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2013 to 2016
$2.0M
Using Electronic Data to Improve Care of Patients with Known or Suspected CancerR18HS017820 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2008 to 2010
$1.2M
Understanding Provider Workflow Needs in Electronic CommunicationK08HS022901 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI MURPHY, DANIEL R · 2014 to 2018
$766k
AHRQ HHS K08 HS022901AHRQ HHS R01 HS022087AHRQ HHS R18 HS017820HSRD VA IK2 HX002586
6 · The paper itself

Abstract

Progress in reducing diagnostic errors remains slow partly due to poorly defined methods to identify errors, high-risk situations, and adverse events. Electronic trigger (e-trigger) tools, which mine vast amounts of patient data to identify signals indicative of a likely error or adverse event, offer a promising method to efficiently identify errors. The increasing amounts of longitudinal electronic data and maturing data warehousing techniques and infrastructure offer an unprecedented opportunity to implement new types of e-trigger tools that use algorithms to identify risks and events related to the diagnostic process. We present a knowledge discovery framework, the Safer Dx Trigger Tools Framework, that enables health systems to develop and implement e-trigger tools to identify and measure diagnostic errors using comprehensive electronic health record (EHR) data. Safer Dx e-trigger tools detect potential diagnostic events, allowing health systems to monitor event rates, study contributory factors and identify targets for improving diagnostic safety. In addition to promoting organisational learning, some e-triggers can monitor data prospectively and help identify patients at high-risk for a future adverse event, enabling clinicians, patients or safety personnel to take preventive actions proactively. Successful application of electronic algorithms requires health systems to invest in clinical informaticists, information technology professionals, patient safety professionals and clinicians, all of who work closely together to overcome development and implementation challenges. We outline key future research, including advances in natural language processing and machine learning, needed to improve effectiveness of e-triggers. Integrating diagnostic safety e-triggers in institutional patient safety strategies can accelerate progress in reducing preventable harm from diagnostic errors.

Indexed as

Natural Language ProcessingPatient SafetyAlgorithmsDiagnostic ErrorsElectronic Health RecordsHumansRisk AssessmentSafety Managementdiagnostic delaysdiagnostic errorselectronic health recordshealth information technologymedical informaticspatient safetytriggers

Identifiers

PMID30291180
PMCPMC6365920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.