ReviewMedical journal of the Islamic Republic of Iran2025
Internet of Things in Medical Education: A Systematic Mapping Review.
Review in Medical journal of the Islamic Republic of Iran, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Background: The Internet of Things (IoT) has introduced new possibilities for revolutionizing medical education and training. This study aimed to conduct a systematic mapping review of existing research to identify and map current advancements in IoT in medical education. The study sought to address key research questions regarding trends and activities in IoT development within this field. Methods: The systematic mapping review explored the intersection of IoT and medical education by systematically collecting, categorizing, and synthesizing relevant studies. We conducted a keyword search in major online scientific databases, and 285 papers were initially retrieved from IEEE, PubMed, Scopus, and Web of Science. After removing duplicates, 204 unique papers were identified. A 2-stage selection process based on predefined criteria narrowed this down to 28 eligible papers. Data extraction from these studies highlighted trends in research development and geographical distribution. Results: The analysis revealed that most publications on IoT systems in medical education were peer-reviewed journal papers (79%), with conference proceedings making up 21%. Thirteen countries contributed to the research, with the United States leading. The studies included pilot projects, laboratory experiments, and feasibility studies. IoT devices and sensors were applied in various areas, such as curriculum development, clinical skills training, patient simulation, telemedicine, and distance learning. While general medicine saw the most IoT applications, other medical disciplines also utilized these technologies. Conclusion: Our findings have shed light on the transformative potential of wearable technology and IoT applications in enhancing educational outcomes and practices. The versatility of IoT devices and sensors across multiple domains within medical education highlights their capacity to revolutionize teaching, learning, research, and clinical practice. Our findings catalyze medical education leaders and policymakers to delve deeper into the possibilities offered by IoT, ultimately leading to improved educational experiences and outcomes.
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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.