Evidence map›Paper›PMID 34179157›Full record

ArticleFrontiers in veterinary science2021

Day-1 Competencies for Veterinarians Specific to Health Informatics.

Zenhwa Ben Ouyang, Jennifer Louise Hodgson, Elliot Robson, Kevin Havas, Elizabeth Stone, Zvonimir Poljak, Theresa Marie Bernardo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. A Workforce-Informed Competency Framework Defines 30 Core Abilities of Veterinary Diagnostic Imaging Specialists.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026
    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

7 authors at 3 institutions in 2 countries.

Zenhwa Ben OuyangDepartment of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Jennifer Louise HodgsonDepartment of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA, United States.
Elliot RobsonEduworks, Corvallis, OR, United States.
Kevin HavasEduworks, Corvallis, OR, United States.
Elizabeth StoneDepartment of Clinical Studies, University of Guelph, Guelph, ON, Canada.
Zvonimir PoljakDepartment of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Theresa Marie BernardoDepartment of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
University of Guelph · CAEduworks (United States) · USVirginia–Maryland College of Veterinary Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2015, the American Association of Veterinary Medical Colleges (AAVMC) developed the Competency-Based Veterinary Education (CBVE) framework to prepare practice-ready veterinarians through competency-based education, which is an outcomes-based approach to equipping students with the skills, knowledge, attitudes, values, and abilities to do their jobs. With increasing use of health informatics (HI: the use of information technology to deliver healthcare) by veterinarians, competencies in HI need to be developed. To reach consensus on a HI competency framework in this study, the Competency Framework Development (CFD) process was conducted using an online adaptation of Developing-A-Curriculum, an established methodology in veterinary medicine for reaching consensus among experts. The objectives of this study were to (1) create an HI competency framework for new veterinarians; (2) group the competency statements into common themes; (3) map the HI competency statements to the AAVMC competencies as illustrative sub-competencies; (4) provide insight into specific technologies that are currently relevant to new veterinary graduates; and (5) measure panelist satisfaction with the CFD process. The primary emphasis of the final HI competency framework was that veterinarians must be able to assess, select, and implement technology to optimize the client-patient experience, delivery of healthcare, and work-life balance for the veterinary team. Veterinarians must also continue their own education regarding technology by engaging relevant experts and opinion leaders.

Indexed as

competenciescompetency frameworkhealth datahealth informaticsinformation and communication technologysocial mediaveterinary education

Identifiers

PMID34179157
PMCPMC8231916
OpenAlexW3172384927

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.