Evidence map›Paper›PMID 28536767›Full record

ReviewPediatric radiology2017

Improving efficiency in the radiology department.

Alexander J Towbin, Laurie A Perry, David B Larson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. The Role of Value Stream Mapping in Healthcare Services: A Scoping Review.International journal of environmental research and public health · 2021
    Article
  7. Using informatics to engage patients.Pediatric radiology · 2020
    Review
  8. Article
  9. Physical exercise among radiologists in Saudi Arabia: a cross-sectional study.Archives of public health = Archives belges de sante publique · 2020
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

3 authors.

Alexander J TowbinDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 5031, Cincinnati, OH, 45229, USA. alexander.towbin@cchmc.org.
Laurie A PerryDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 5031, Cincinnati, OH, 45229, USA.
David B LarsonDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The modern radiology department is built around the flow of information. Ordering providers request imaging studies to be performed, technologists complete the work required to perform the imaging studies, and radiologists interpret and report on the imaging findings. As each of these steps is performed, data flow between multiple information systems, most notably the radiology information system (RIS), the picture archiving and communication system (PACS) and the voice dictation system. Even though data flow relatively seamlessly, the majority of our systems and processes are inefficient. The purpose of this article is to describe the radiology value stream and describe how radiology informaticists in one department have worked to improve the efficiency of the value stream at each step. Through these examples, we identify and describe several themes that we believe have been crucial to our success.

Indexed as

Efficiency, OrganizationalMedical Informatics ApplicationsPediatricsQuality ImprovementRadiology Information SystemsHumansModels, OrganizationalRadiology Department, HospitalInformaticsPediatric radiologyRadiology information systemSystems thinkingWorkflow efficiency

Identifiers

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.