Evidence map›Paper›PMID 21997348›Full record

ArticleBMJ quality & safety2012

Electronic health record-based surveillance of diagnostic errors in primary care.

Hardeep Singh, Traber Davis Giardina, Samuel N Forjuoh, Michael D Reis, Steven Kosmach, Myrna M Khan, Eric J Thomas

Abstract read
In one paragraph

Article in BMJ quality & safety, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Electronic Trigger-Based Intervention to Reduce Delays in Diagnostic Evaluation for Cancer: A Cluster Randomized Controlled Trial.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2015
    Trial
  2. Review
  3. Article
  4. Article
  5. Epidemiology of diagnostic errors in pediatric emergency departments using electronic triggers.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Article
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  7. Article
  8. Article
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  11. Review
  12. Observational
  13. Article
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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

7 authors.

Hardeep SinghHouston VA HSR&D Center of Excellence, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA. hardeeps@bcm.edu
Traber Davis Giardina
Samuel N Forjuoh
Michael D Reis
Steven Kosmach
Myrna M Khan
Eric J Thomas

Funding

Using Electronic Records to Detect and Learn from Ambulatory Diagnostic ErrorsR18HS017244 · AHRQ · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI THOMAS, ERIC J · 2007 to 2008
$775k
Reducing Missed And Delayed Diagnoses In Cancer: Lessons From AviationK23CA125585 · NCI · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2007 to 2011
$709k
AHRQ HHS R18 HS017244AHRQ HHS R18HS17244-02NCI NIH HHS K23 CA125585NCI NIH HHS K23CA125585
6 · The paper itself

Abstract

backgroundDiagnostic errors in primary care are harmful but difficult to detect. The authors tested an electronic health record (EHR)-based method to detect diagnostic errors in routine primary care practice.

methodsThe authors conducted a retrospective study of primary care visit records 'triggered' through electronic queries for possible evidence of diagnostic errors: Trigger 1: A primary care index visit followed by unplanned hospitalisation within 14 days and Trigger 2: A primary care index visit followed by ≥1 unscheduled visit(s) within 14 days. Control visits met neither criterion. Electronic trigger queries were applied to EHR repositories at two large healthcare systems between 1 October 2006 and 30 September 2007. Blinded physician-reviewers independently determined presence or absence of diagnostic errors in selected triggered and control visits. An error was defined as a missed opportunity to make or pursue the correct diagnosis when adequate data were available at the index visit. Disagreements were resolved by an independent third reviewer.

resultsQueries were applied to 212 165 visits. On record review, the authors found diagnostic errors in 141 of 674 Trigger 1-positive records (positive predictive value (PPV)=20.9%, 95% CI 17.9% to 24.0%) and 36 of 669 Trigger 2-positive records (PPV=5.4%, 95% CI 3.7% to 7.1%). The control PPV of 2.1% (95% CI 0.1% to 3.3%) was significantly lower than that of both triggers (p≤0.002). Inter-reviewer reliability was modest, though higher than in comparable previous studies (к=0.37 (95% CI 0.31 to 0.44)).

conclusionsWhile physician agreement on diagnostic error remains low, an EHR-facilitated surveillance methodology could be useful for gaining insight into the origin of these errors.

Indexed as

Diagnostic ErrorsElectronic Health RecordsHumansMedical AuditPrimary Health CareRetrospective StudiesTexas

Identifiers

PMID21997348
PMCPMC3680372

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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.