Evidence map›Paper›PMID 31801474›Full record

ArticleBMC emergency medicine2019

Diagnostic error in the emergency department: learning from national patient safety incident report analysis.

Faris Hussain, Alison Cooper, Andrew Carson-Stevens, Liam Donaldson, Peter Hibbert, Thomas Hughes, Adrian Edwards

Registry-linked trialAbstract read
In one paragraph

Article in BMC emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06130397 (FRACT-AI), which is not on this map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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.

NCT06130397 completednot on this mapstarted 2024, after this paper: background citation

FRACT-AI: Evaluating the Impact of Artificial Intelligence-Enhanced Image Analysis on the Diagnostic Accuracy of Frontline Clinicians in the Detection of Fractures on Plain X-Ray

TypeobservationalSponsorOxford University Hospitals NHS TrustRan2024 to 2025Enrolled21ConditionsFracture, Bone Fracture, Dislocation, Fracture MultipleArmsCases reading, Ground truthing
3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

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  14. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Review
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  20. Observational
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

7 authors.

Faris HussainCardiff University, Cardiff, UK.
Alison CooperCardiff University, Cardiff, UK. Coopera8@cardiff.ac.uk.ORCID 0000-0001-8660-6721
Andrew Carson-StevensCardiff University, Cardiff, UK.
Liam DonaldsonLondon School of Hygiene and Tropical Medicine, London, UK.
Peter HibbertMacquarie University, Sydney, Australia.
Thomas HughesJohn Radcliffe Hospital, Oxford, UK.
Adrian EdwardsCardiff University, Cardiff, UK.

Funding

Department of Health HS&DR/15/145/04
6 · The paper itself

Abstract

backgroundDiagnostic error occurs more frequently in the emergency department than in regular in-patient hospital care. We sought to characterise the nature of reported diagnostic error in hospital emergency departments in England and Wales from 2013 to 2015 and to identify the priority areas for intervention to reduce their occurrence.

methodsA cross-sectional mixed-methods design using an exploratory descriptive analysis and thematic analysis of patient safety incident reports. Primary data were extracted from a national database of patient safety incidents. Reports were filtered for emergency department settings, diagnostic error (as classified by the reporter), from 2013 to 2015. These were analysed for the chain of events, contributory factors and harm outcomes.

resultsThere were 2288 cases of confirmed diagnostic error: 1973 (86%) delayed and 315 (14%) wrong diagnoses. One in seven incidents were reported to have severe harm or death. Fractures were the most common condition (44%), with cervical-spine and neck of femur the most frequent types. Other common conditions included myocardial infarctions (7%) and intracranial bleeds (6%). Incidents involving both delayed and wrong diagnoses were associated with insufficient assessment, misinterpretation of diagnostic investigations and failure to order investigations. Contributory factors were predominantly human factors, including staff mistakes, healthcare professionals' inadequate skillset or knowledge and not following protocols.

conclusionsSystems modifications are needed that provide clinicians with better support in performing patient assessment and investigation interpretation. Interventions to reduce diagnostic error need to be evaluated in the emergency department setting, and could include standardised checklists, structured reporting and technological investigation improvements.

Indexed as

Clinical CompetenceCross-Sectional StudiesDelayed DiagnosisDiagnostic ErrorsEmergency Service, HospitalEnglandHumansPatient SafetySeverity of Illness IndexWalesDiagnostic errorEmergency department

Identifiers

PMID31801474
PMCPMC6894198

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Registered trials

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.