Evidence map›Paper›PMID 42255035›Full record

ArticleHealth care science2026

Construction and Practice of an Efficient Classroom for Surgical Procedures in a Digital Environment.

Jiao Wang, Chunyu Zhou

Abstract read
In one paragraph

Article in Health care science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jiao WangDepartment of Geriatric Endocrinology The First Affiliated Hospital of Zhengzhou University Zhengzhou China.ORCID https://orcid.org/0009-0009-0621-1478
Chunyu ZhouBlood Purification Center The First Affiliated Hospital of Zhengzhou University Zhengzhou China.ORCID https://orcid.org/0000-0002-9062-4655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Higher medical education has undergone profound changes arising from the digitalization of education. However, teaching efficiency needs to be further improved, and medical and surgical teaching still faces problems such as insufficient integration of theory and practice. This study focuses on digital technology-enabled medical and surgical teaching to maximize teaching efficiency and explore innovative paths for improved teaching quality and cultivation of practice-oriented medical skills. Methods: We used a questionnaire survey method to investigate medical students' ( Results: Excellent student learning outcomes were reported following the technology-enabled medical and surgical teaching. Ninety-five students (34.17%) demonstrated significant improvement in their mastery of surgical theory, and 120 students (43.16%) showed improvement. The mean score (maximum score of 5) for laparoscopic surgical skills was 3.85, and the mean score for anatomical structure recognition was 4.02, both indicating a high level of proficiency. In terms of teaching satisfaction, 235 students (84.53%) expressed satisfaction or strong satisfaction with the digital teaching methods, reflecting widespread acceptance of this educational model. Conclusions: Digital technology was associated with greater efficacy and skill mastery for medical students learning surgical procedures in our study. Students' teaching satisfaction also improved. This study demonstrates the value of digital technology use in medical education and suggests some new lines of research and practice in medical education.

Indexed as

digital technologyefficient classroommedical educationsurgical technique

Identifiers

PMID42255035
PMCPMC13241805

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.