Evidence map›Paper›PMID 27006890›Full record

ArticleDiagnosis (Berlin, Germany)2014

Communication breakdowns and diagnostic errors: a radiology perspective.

Daniel R Murphy, Hardeep Singh, Leonard Berlin

Abstract read
In one paragraph

Article in Diagnosis (Berlin, Germany), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

3 authors.

Daniel R MurphyHouston VA Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Hardeep SinghHouston VA Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Leonard BerlinSkokie Hospital Dept of Radiology, Skokie, IL, USA; and Rush University and University of Illinois, Chicago, IL, USA.

Funding

Reducing Missed And Delayed Diagnoses In Cancer: Lessons From AviationK23CA125585 · NCI · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2007 to 2011
$709k
AHRQ HHS R01 HS022087NCI NIH HHS K23 CA125585
6 · The paper itself

Abstract

Timely and accurate communication is essential to safe and effective health care. Despite increased awareness over the past decade of the frequency of medical errors and greater efforts directed towards improving patient safety, patient harm due to communication breakdowns remains a significant problem. Communication problems related to diagnostic testing may account for nearly half of all errors made by typical primary care physicians in their medical practices. This article provides an overview of communication breakdowns in the context of radiology related diagnostic errors. In radiology, communication breakdowns between radiologists, referring clinicians, and patients can lead to failure of critical information to be relayed, resulting in delayed or missed diagnosis. New technologies, such electronic health records (EHRs), contribute to the increasing complexity of communication in health care, but if used correctly, they can provide several benefits to safe and effective communication. To address the complexity of communication breakdowns, a multifaceted sociotechnical approach is needed to address both technical and non-technical aspects of health care delivery. The article also provides some future directions in reducing communication breakdowns related to diagnostic testing, including proactive risk assessment of communication practices using recently released SAFER self-assessment guides.

Indexed as

electronic communicationelectronic health recordshealth information technologymedical informaticsprimary careradiologytest results

Identifiers

PMID27006890
PMCPMC4799783

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.