Evidence map›Paper›PMID 30517649›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Integrity of clinical information in computerized order requisitions for diagnostic imaging.

Ronilda Lacson, Romeo Laroya, Aijia Wang, Neena Kapoor, Daniel I Glazer, Atul Shinagare, Ivan K Ip, Sameer Malhotra, Keith Hentel, Ramin Khorasani

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  13. Can emergency department provider notes help to achieve more dynamic clinical decision support?Journal of the American College of Emergency Physicians open · 2020
    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

10 authors.

Ronilda LacsonDepartment of Radiology, Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, MA, USA.
Romeo LaroyaDepartment of Radiology, Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, MA, USA.
Aijia WangDepartment of Radiology, Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, MA, USA.
Neena KapoorDepartment of Radiology, Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, MA, USA.
Daniel I GlazerHarvard Medical School, Boston, MA, USA.
Atul ShinagareDepartment of Radiology, Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, MA, USA.
Ivan K IpDepartment of Radiology, Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, MA, USA.
Sameer MalhotraDepartment of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, USA.
Keith HentelDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.
Ramin KhorasaniDepartment of Radiology, Brigham and Women's Hospital, Center for Evidence-Based Imaging, Boston, MA, USA.

Funding

Factors that Enhance Diagnostic Imaging Safety in the Ambulatory SettingR01HS024722 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI LACSON, RONILDA · 2016 to 2020
$1.7M
AHRQ HHS R01 HS024722
6 · The paper itself

Abstract

Objective: Assess information integrity (concordance and completeness of documented exam indications from the electronic health record [EHR] imaging order requisition, compared to EHR provider notes), and assess potential impact of indication inaccuracies on exam planning and interpretation. Methods: This retrospective study, approved by the Institutional Review Board, was conducted at a tertiary academic medical center. There were 139 MRI lumbar spine (LS-MRI) and 176 CT abdomen/pelvis orders performed 4/1/2016-5/31/2016 randomly selected and reviewed by 4 radiologists for concordance and completeness of relevant exam indications in order requisitions compared to provider notes, and potential impact of indication inaccuracies on exam planning and interpretation. Forty each LS-MRI and CT abdomen/pelvis were re-reviewed to assess kappa agreement. Results: Requisition indications were more likely to be incomplete (256/315, 81%) than discordant (133/315, 42%) compared to provider notes (p < 0.0001). Potential impact of discrepancy between clinical information in requisitions and provider notes was higher for radiologist's interpretation than for exam planning (135/315, 43%, vs 25/315, 8%, p < 0.0001). Agreement among radiologists for concordance, completeness, and potential impact was moderate to strong (Kappa 0.66-0.89). Indications in EHR order requisitions are frequently incomplete or discordant compared to physician notes, potentially impacting imaging exam planning, interpretation and accurate diagnosis. Such inaccuracies could also diminish the relevance of clinical decision support alerts if based on information in order requisitions. Conclusions: Improved availability of relevant documented clinical information within EHR imaging requisition is necessary for optimal exam planning and interpretation.

Indexed as

Diagnostic ImagingMedical ErrorsMedical Order Entry SystemsMedical Records Systems, ComputerizedAcademic Medical CentersElectronic Health RecordsHumansMagnetic Resonance ImagingRadiology Information SystemsRetrospective StudiesTertiary Care CentersTomography, X-Ray ComputedWorkflow

Identifiers

PMID30517649
PMCPMC7647161

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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.