Evidence map›Paper›PMID 35394222›Full record

ArticleJournal of digital imaging2022

Reuniting Long Lost Cousins: a Novel Curriculum in Imaging Informatics for Clinical Informatics Fellows.

James T Whitfill, Edward Kalpas, Pamela Garcia-Filion

Open access · greenAbstract read
In one paragraph

Article in Journal of digital imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 3 institutions in 1 country.

James T WhitfillHonorHealth, Scottsdale AZ, Phoenix, USA. jwhitfill@honorhealth.com.ORCID 0000-0002-5356-0429
Edward KalpasHonorHealth, Scottsdale AZ, Phoenix, USA.ORCID 0000-0003-3136-8652
Pamela Garcia-FilionUniversity of Arizona College of Medicine Phoenix, Phoenix, USA.ORCID 0000-0001-5987-9775
HonorHealth · USUniversity of Arizona · USUniversity of Phoenix · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a curriculum of imaging informatics for clinical informatics fellows. While imaging informatics and clinical informatics are related fields, they have distinct bodies of knowledge. The aim of this curriculum is to prepare clinical informatics fellows for questions regarding imaging informatics on the clinical informatics board certification examination, prepare fellows to handle issues and requests involving imaging informatics in their future roles as clinical informaticists, and develop sufficient knowledge and skills in order to interface with imaging and radiology domain experts. We mapped ACGME core competencies for clinical informatics and the clinical informatics skills and attributes to topics covered in this curriculum. Topics covered included orders vs. encounter-based workflow, understanding imaging informatics operations and the differences between an IT department leading digital image management and the radiology department, clinical decision support for radiology, procuring and integrating new modalities into a PACS system, troubleshooting slow application performance in a PACS environment, imaging sharing, artificial intelligence (AI) in imaging including AI bias, validation of models within home institution and regulatory issues, and structured reporting vs. Natural Language Processing to mine radiology report data. These topics were covered in interactive didactic sessions as well as a journal club. Future work will expand to include hands-on learning and a formal evaluation of this curriculum with current fellows and recent graduates.

Indexed as

Medical InformaticsRadiologyArtificial IntelligenceCurriculumEducation, Medical, GraduateHumansClinical informaticsCurriculum developmentGraduate medical educationImaging informatics

Identifiers

PMID35394222
PMCPMC9485359
OpenAlexW4226426382

What Socratic 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 Socratic graph.