Evidence map›Paper›PMID 31954707›Full record

ArticleJournal of the American College of Radiology : JACR2020

Unscheduled Radiologic Examination Orders in the Electronic Health Record: A Novel Resource for Targeting Ambulatory Diagnostic Errors in Radiology.

Ronilda Lacson, Michael J Healey, Laila R Cochon, Romeo Laroya, Keith D Hentel, Adam B Landman, Sunil Eappen, Giles W Boland, Ramin Khorasani

Open access · greenAbstract read
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Factors Associated With Timeliness and Equity of Access to Outpatient MRI Examinations.Journal of the American College of Radiology : JACR · 2024
    Article
  3. 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

9 authors at 3 institutions in 1 country.

Ronilda LacsonDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: rlacson@rics.bwh.harvard.edu.
Michael J HealeyHarvard Medical School, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Laila R CochonDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Romeo LaroyaDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Keith D HentelDepartment of Radiology, Weill Cornell Medicine, New York, New York.
Adam B LandmanHarvard Medical School, Boston, Massachusetts; Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Sunil EappenHarvard Medical School, Boston, Massachusetts; Department of Anesthesiology, Brigham and Women's Hospital, Boston, Massachusetts.
Giles W BolandDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Ramin KhorasaniDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Brigham and Women's Hospital · USHarvard University · USWeill Cornell Medicine · US

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

purposeThe aim of this study was to assess the prevalence of unscheduled radiologic examination orders in an electronic health record, and the proportion of unscheduled orders that are clinically necessary, by modality.

methodsThis retrospective study was conducted from January to October 2016 at an academic institution. All unscheduled radiologic examination orders were retrieved for seven modalities (CT, MR, ultrasound, obstetric ultrasound, bone densitometry, mammography, and fluoroscopy). After excluding duplicates, 100 randomly selected orders from each modality were assigned to two physician reviewers who classified their clinical necessity, with 10% overlap. Interannotator agreement was assessed using κ statistics, the percentage of clinically necessary unscheduled orders was compared, and χ

resultsA total 494,503 radiologic examination orders were placed during the study period. After exclusions, 33,546 unscheduled orders were identified, 7% of all radiologic examination orders. Among 700 reviewed unscheduled orders, agreement was substantial (κ = 0.63). Eighty-seven percent of bone densitometric examinations and sixty-five percent of mammographic studies were considered clinically necessary, primarily for follow-up management. The majority of orders in each modality were clinically necessary, except for CT, obstetric ultrasound, and fluoroscopy (P < .0001).

conclusionsLarge numbers of radiologic examination orders remain unscheduled in the electronic health record. A substantial portion are clinically necessary, representing potential delays in executing documented provider care plans. Clinically unnecessary unscheduled orders may inadvertently be scheduled and performed. Identifying and performing clinically necessary unscheduled radiologic examination orders may help reduce diagnostic errors related to diagnosis and treatment delays and enhance patient safety, while eliminating clinically unnecessary unscheduled orders will help avoid unneeded testing.

Indexed as

Electronic Health RecordsRadiologyDiagnostic ErrorsHumansRadiographyRetrospective Studiesdelayed diagnosisdiagnostic errorsdiagnostic imagingMedical order entry systemspatient safety

Identifiers

PMID31954707
PMCPMC7509985
OpenAlexW3001003029

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.