ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022
Characteristics of the National Applicant Pool for Clinical Informatics Fellowships (2018-2020).
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Ethical guidelines for deploying artificial intelligence applications in the pathology field: Lessons learned from a prospective framework in a large tertiary care academic medical center.Journal of pathology informatics · 2026Article
- A Longitudinal Graduate Medical Education Curriculum in Clinical Informatics: Function, Structure, and Evaluation.Applied clinical informatics · 2025Article
- Elevating Clinical Informatics: Dynamic Resident Training to Enhance Subspecialty Appeal.Applied clinical informatics · 2025Article
- Creation and Evaluation of a Clinical Informatics Match: Initial Findings.Applied clinical informatics · 2023Article
- Survey of clinical informatics fellows graduating 2016-2024: experiences before and during fellowship.Journal of the American Medical Informatics Association : JAMIA · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In a prior survey, we found that applicants for 2017 ACGME-accredited clinical informatics fellowship positions were only 24% female and only 3% were members of underrepresented minorities (URM, consisting of American Indian or Alaska Native, Black or African American, Hispanic, Latino, or Spanish Origin, or Native Hawaiian or Other Pacific Islander). Since 2018, applications for clinical informatics fellowships have been accepted through the AAMC's Electronic Residency Application Service (ERAS). We analyzed national data from ERAS on applicants to clinical informatics fellowship programs for 2018 to 2020 positions. We also obtained applicants' subsequent success in starting clinical informatics fellowship training from the AAMC's GME Track survey. Over these 3 years, we found that the fellowship applicant pool grew from 63 to 74 (17%) and the number of positions offered grew from 34 to 41 (17%). The proportion of women applicants grew to 34% by 2020 and the proportion of underrepresented minorities grew to 12% by 2020. By comparison, medical students 7 years earlier (2013) were 47% female (P=.01) and 16% URM (P>.20), and applicants to many other subspecialties were similar. Applicants' sex and URM membership were not associated with success in starting fellowship training. We conclude that the underrepresentation of women and URM members in clinical informatics fellowships has improved but not resolved. Urgent efforts are needed to increase the both the numbers and the diversity of clinical informatics applicants by promoting the field among medical students and residents, particularly among women and URM members.
Indexed as
Identifiers
37128425PMC10148350What OpenQuestion holds
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.