Evidence map›Paper›PMID 21383925›Full record

ArticleJournal of pathology informatics2011

Barriers and facilitators to adoption of soft copy interpretation from the user perspective: Lessons learned from filmless radiology for slideless pathology.

Emily S Patterson, Mike Rayo, Carolina Gill, Metin N Gurcan

Open access · goldAbstract read
In one paragraph

Article in Journal of pathology informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
9.3field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Histopathological image analysis for centroblasts classification through dimensionality reduction approaches.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2014
    Article
  4. 21(st) century workflow: A proposal.Journal of pathology informatics · 2014
    Article
  5. Article
  6. Article
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  8. Authors' reply.Journal of pathology informatics · 2011
    Article
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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

4 authors at 1 institution in 1 country.

Emily S PattersonDivision of Health Information Management and Systems, School of Allied Medical Professions, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
Mike Rayo
Carolina Gill
Metin N Gurcan
The Ohio State University · US

Funding

Computer-based assessment of tumor microenvironment (TME) in Follicular LymphomaR01CA134451 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI GURCAN, METIN NAFI, LOZANSKI, GERARD · 2009 to 2017
$2.3M
NCI NIH HHS R01 CA134451
6 · The paper itself

Abstract

backgroundAdoption of digital images for pathological specimens has been slower than adoption of digital images in radiology, despite a number of anticipated advantages for digital images in pathology. In this paper, we explore the factors that might explain this slower rate of adoption. MATERIALS AND

methodSemi-structured interviews on barriers and facilitators to the adoption of digital images were conducted with two radiologists, three pathologists, and one pathologist's assistant.

resultsBarriers and facilitators to adoption of digital images were reported in the areas of performance, workflow-efficiency, infrastructure, integration with other software, and exposure to digital images. The primary difference between the settings was that performance with the use of digital images as compared to the traditional method was perceived to be higher in radiology and lower in pathology. Additionally, exposure to digital images was higher in radiology than pathology, with some radiologists exclusively having been trained and/or practicing with digital images. The integration of digital images both improved and reduced efficiency in routine and non-routine workflow patterns in both settings, and was variable across the different organizations. A comparison of these findings with prior research on adoption of other health information technologies suggests that the barriers to adoption of digital images in pathology are relatively tractable.

conclusionsImproving performance using digital images in pathology would likely accelerate adoption of innovative technologies that are facilitated by the use of digital images, such as electronic imaging databases, electronic health records, double reading for challenging cases, and computer-aided diagnostic systems.

Indexed as

Computer-aided diagnosticelectronic health recordsinformaticspathologysoft copy

Identifiers

PMID21383925
PMCPMC3046381
OpenAlexW2088269567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.