ArticleCanadian medical education journal2021
Technology readiness of medical students and the association of technology readiness with specialty interest.
Article in Canadian medical education journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Empowering tomorrow's public health researchers and clinicians to develop digital health interventions using chatbots, virtual reality, and other AI technologies.Frontiers in public health · 2025Article
- Practical Recommendations for Navigating Digital Tools in Hospitals: Qualitative Interview Study.JMIR medical education · 2024Article
- Integration of Artificial Intelligence in Pediatric Education: Perspectives from Pediatric Medical Educators and Residents.Healthcare informatics research · 2024Article
- Digital health understanding and preparedness of medical students: a cross-sectional study.Medical education online · 2022Article
- Technology Literacy in Undergraduate Medical Education: Review and Survey of the US Medical School Innovation and Technology Programs.JMIR medical education · 2022Article
- Coming to terms with the languages we use in medical education: hidden meanings and unintended consequences.Canadian medical education journal · 2021Article
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundTechnology readiness (TR) is a construct which characterizes an individual's propensity to utilize new technology. Despite increased technology use in healthcare, limited data exists on medical student TR and the relation of TR with specialty interest. This study assesses the TR of 2
methodsRespondents completed a survey assessing their most preferred specialty, specialty interests, and technology readiness using a 5-point Likert scale. Using Chi-square analysis, we examined the relation between demographics, TR, and specialty interest.
resultsThis study obtained a 45.7% (
conclusionsAs a cohort, most medical students were technology ready. It is inconclusive if technology ready students are more likely to be interested in technology-focused specialties due to the limited sample size of this study, although with an increased sample size, an improved understanding on technology readiness and its potential impact on student specialty interest may be obtained. Furthermore, knowledge of TR may aid in developing targeted technology-based education programs and in improving remedial approaches for students who are less comfortable with new technology.
Identifiers
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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.