Evidence map›Paper›PMID 33065075›Full record

ArticleJournal of the American College of Radiology : JACR2021

Optimizing Radiology Reading Room Design: The Eudaimonia Radiology Machine.

Ethan P Larsen, Tigist Hailu, Lydia Sheldon, Abigail Ginader, Nicole Bodo, David Dewane, Andrew J Degnan, John Finley, Raymond W Sze

Abstract read
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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.

Ethan P LarsenDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Center for Healthcare Quality and Analytics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Electronic address: larsene@email.chop.edu.
Tigist HailuDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Lydia SheldonDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Abigail GinaderDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Nicole BodoDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
David DewaneBarker Nestor Inc, Chicago, Illinois.
Andrew J DegnanDepartment of Radiology, Abington Hospital-Jefferson Health, Abington, Pennsylvania.
John FinleyFacilities Project Management and Construction, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Raymond W SzeAssociate Radiologist in Chief, Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical and mental stressors on radiologists can result in burnout. Although current efforts seek to target the issues of burnout and stress for radiologists, the impact of their physical workspace is often overlooked. By combining evidence-based design, human factors, and the architectural concept of the Eudaimonia Machine, we have developed a redesign of the radiology reading room that aims to create an optimal workspace for the radiologist. Informed by classical principles of well-being and contemporary work theory, Eudaimonia integrates concerns for individual wellness and efficiency to create an environment that fosters productivity. This layout arranges a work environment into purposeful spaces, each hosting tasks of varying degrees of intensity. The improved design addresses the radiologist's work requirements while also alleviating cognitive and physical stress, fatigue, and burnout. This new layout organizes the reading room into separate areas, each with a distinct purpose intended to support the range of radiologists' work, from consultation with other health care providers to reading images without interruption. The scientific principles that undergird evidence-based design and human factors considerations ensure that the Eudaimonia Radiology Machine is best suited to support the work of the radiologists and the entire radiology department.

Indexed as

Burnout, ProfessionalRadiologyRadiology Information SystemsHumansRadiographyRadiologistsBurnoutevidence-based designhuman factorsreading room

Identifiers

PMID33065075
PMCPMC7553105

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.