Evidence map›Paper›PMID 35272541›Full record

ArticleAnnals of medicine2022

A commentary on the practice of integrated medical curriculum in the interdisciplinary field of medical engineering.

Peng Zhang, Liang Ji, Guomin Zhou, Xuan Yao

Abstract read
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

4 authors.

Peng ZhangSchool of Medicine, Shanghai University, Shanghai, China.
Liang JiSchool of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Guomin ZhouSchool of Medicine, Shanghai University, Shanghai, China.
Xuan YaoSchool of Medicine, Shanghai University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shanghai University School of Medicine was a newly established medical college in 2018. It is founded on the national health development policies, international medical development trends and the close relationship between the advantages of new medical courses and medical artificial intelligence, it is dedicated to using intelligent medicine as the breakthrough point, training graduate students in two interdisciplinary medical engineering subjects as the priority, and implementing the integrated medical curriculum teaching reform. In this paper, we introduce the background of the integrated medical curriculum system at the Shanghai University School of Medicine, the horizontal and vertical integration of medical courses in interdisciplinary medical engineering subjects, the cross-integration of traditional integrated medical courses with other disciplines and specialties, and the transformation mode of medical science and technology innovation led by artificial intelligence under the support of three-dimensional curriculum integration, putting forward the prospect of the curriculum integration system and providing experiences and references for other medical schools.KEY MESSAGESThis paper introduces the necessity and feasibility of implementing integrated medical course teaching in a newly established medical college.This paper introduces the strategies and concrete measures we took to implement integrated medical course teaching.The analysis of examination papers and other evaluations revealed that the integrated medical teaching for graduate students with non-medical professional backgrounds is feasible.

Indexed as

Artificial IntelligenceEducation, MedicalChinaCurriculumHumansgraduate studentintegrated curriculumInterdisciplinaryMedical educationmedical engineering

Identifiers

PMID35272541
PMCPMC8920398

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.