Evidence map›Paper›PMID 32284963›Full record

ArticleAcademic pathology

Informatics Training for Pathology Practice and Research in the Digital Era.

Heather T D Maness, Linda S Behar-Horenstein, Michael Clare-Salzler, Srikar Chamala

Open access · goldAbstract read
In one paragraph

Article in Academic pathology. 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
1.1field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Coping With COVID-19.American journal of clinical pathology · 2021
    Article
  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

4 authors at 1 institution in 1 country.

Heather T D ManessUFIT Center for Instructional Technology and Training, University of Florida, Gainesville, FL, USA.
Linda S Behar-HorensteinUniversity of Florida, Gainesville, FL, USA.
Michael Clare-SalzlerDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
Srikar ChamalaDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.ORCID https://orcid.org/0000-0001-6367-7615
University of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathology informatics is a relatively new field with limited structured training programs for pathologists, especially for computer programming. Here, we describe our efforts to develop and implement a training program in the department of pathology at the University of Florida to meet these additional needs of current students as well as faculty and staff. Three one-credit courses were created using a flipped classroom design. Each course was assessed with a novel survey instrument, and the impact of the program was further measured 6 months after program completion with interviews of 6 participants and thematic analysis. Course objectives were met but with room for improvement. Major factors that had a positive impact included collaborative learning and real-world practice problems. Also, it improved communication with informatics colleagues as well as job task efficiency and effectiveness. Overall, the program raised awareness of informatics professional development and career path opportunities within pathology.

Indexed as

computer programmingcontinuing educationflipped classroomgraduate medical educationinformaticspathologyresidency trainingUnix

Identifiers

PMID32284963
PMCPMC7119238
OpenAlexW3013715913

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.