ArticleFujita medical journal2023
Simulated medical information system: education for aspiring healthcare information technologists.
Article in Fujita medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To determine if a simulated medical information system can improve the level of understanding of healthcare information technology students. Methods: The study involved 40 healthcare information technology students. All the students took the healthcare information technology course using the simulated medical information system. The primary outcome was a measure of their level of understanding assessed with a questionnaire using a five-point Likert-type scale. The questions were all included in the required knowledge for the Specific Behavioral Objectives for Healthcare Information Technologists (2016) and Senior Healthcare Information Technologists (ver. 1.1, 2017). To measure the level of understanding, median with 10th-90th percentile CI values for both sets of questionnaires were calculated for all the students. The Wilcoxon signed-rank test was used to compare level of understanding before and after the training. Results: Some students were excluded because they failed to complete the questionnaires. For both Healthcare Information Technologists (n=37) and Senior Health Information Technologists (n=34), the level of understanding was significantly different before (median [10th-90th percentile]: 1175 [935-1271], 416 [302-513]) and after (1200 [1016-1472], 469.5 [351-527]) the training (p<0.05). Conclusions: A simulated medical information system may be an effective tool for students to learn about healthcare information technology.
Indexed as
Identifiers
What 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.