Evidence map›Paper›PMID 41594322›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors.

Carol Yen, John W Epling, Michelle Rockwell, Monifa Vaughn-Cooke

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Carol YenDepartment of Health Systems and Implementation Science, Virginia Tech School of Medicine, Roanoke, VA 24014, USA.
John W EplingCarilion Clinic and Virginia Tech Carilion School of Medicine, Roanoke, VA 24014, USA.ORCID 0000-0001-9445-8669
Michelle RockwellDepartment of Human Nutrition, Foods, and Exercise, Virginia Polytechnic Institute & State University, Blacksburg, VA 24061, USA.ORCID 0000-0001-7910-6083
Monifa Vaughn-CookeDepartment of Health Systems and Implementation Science, Virginia Tech School of Medicine, Roanoke, VA 24014, USA.ORCID 0000-0003-3577-3321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic errors have been a critical concern in healthcare, leading to substantial financial burdens and serious threats to patient safety. The Improving Diagnosis in Health Care report by the National Academies of Sciences, Engineering, and Medicine (NASEM) defines diagnostic errors, focusing on accuracy, timeliness, and communication, which are influenced by clinical knowledge and the broader healthcare system. This review aims to integrate existing literature on diagnostic error from a systems-based perspective and examine the factors across various domains to present a comprehensive picture of the topic. A narrative literature review was structured upon the Systems Engineering Initiative for Patient Safety (SEIPS) model that focuses on six domains central to the diagnostic process: Diagnostic Team Members, Tasks, Technologies and Tools, Organization, Physical Environment, and External Environment. Studies on contributing factors for diagnostic error in these domains were identified and integrated. The findings reveal that the effectiveness of diagnostics is influenced by complex, interconnected factors spanning all six SEIPS domains. In particular, socio-behavioral factors, such as team communication, cognitive bias, and workload, and environmental pressures, stand out as significant but difficult-to-capture contributors in traditional and commonly used data resources like electronic health records (EHRs), which limits the scope of many studies on diagnostic errors. Factors associated with diagnostic errors are often interconnected across healthcare system stakeholders and organizations. Future research should address both technical and behavioral elements within the diagnostic ecosystem to reduce errors and enhance patient outcomes.

Indexed as

cognitive biasdiagnostic communicationdiagnostic decision makinghealth information technologyhealth literacyinterpersonal relationshipspatient safetysocio-behavioral factorssociotechnical systemssystem-level contributors

Identifiers

PMID41594322
PMCPMC12840061

What OpenQuestion holds

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LicenceCC BY
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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.