ArticleJournal of digital imaging2020
Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration.
Article in Journal of digital imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
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Who cites it
5 citing papers in PubMed.
- Imaging Informatics Education in Clinical Informatics Programs: Perspective from Imaging and Clinical Informatics Professionals.Applied clinical informatics · 2024Article
- Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship.Journal of digital imaging · 2023Article
- Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics.Yearbook of medical informatics · 2021Review
- Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents.Radiology. Artificial intelligence · 2020Article
- American Society of Retina Specialists Artificial Intelligence Task Force Report.Journal of vitreoretinal diseasesArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
New consumer technologies and interoperability standards have dated the first standardized curriculum for imaging informatics fellowships suggested by the Society for Computer Applications in Radiology (SCAR) in 2004 (Journal of digital imaging 17(4):244-248, 2004). Last year, analysis from this institution characterized current state fellowship graduation requirements and broad curriculum topics for the first time in over a decade (SIIM Strategic Plan 2017-2020). However, an updated "core" curriculum has not yet been developed. Using the recent current state analysis as a baseline, we aimed to perform a focused assessment and propose that this would work towards an updated consensus "core" curriculum as outlined by the Society for Imaging Informatics in Medicine (SIIM, previously SCAR) strategic plan. A secondary aim was to identify individual program strengths and weaknesses to foster inter-program collaboration. Using sub-topics from the National Imaging Informatics Curriculum (NIIC), a week-long introductory course for residents, we expanded the original 29 broad curriculum categories identified in last year's current state analysis into 114 sub-topics. We surveyed imaging informatics fellowship directors to identify sub-topic prioritization on a 5-item Likert scale, teaching methods for each sub-topic, cross-departmental partnerships, and individual program strengths and weaknesses. Only 8% of sub-topics (10/114) received a "definitely" rating with 100% agreement while the majority of sub-topics 77% (88/114) had mixed grading defined by two or fewer "definitely" ratings. These sub-topics mapped to only 4 of the original 29 broad fellowship curriculum categories including Standards, Programming/Development/Software, Infrastructure, and PACS/RIS/Reporting. Our plan is to use consensus topics to build a "core" informatics fellowship curriculum and initiate discussion surrounding mixed grading topics. Knowledge of individual program strengths and weaknesses can be used to foster inter-program collaboration.
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Registered trials
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.