Evidence map›Paper›PMID 37644288›Full record

ArticleAdvances in experimental medicine and biology2023

Technology-Enhanced Preclinical Medical Education (Anatomy, Histology and Occasionally, Biochemistry): A Practical Guide.

Jian Yang

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In one paragraph

Article in Advances in experimental medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
13.6field-weighted citation impact, top 1% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

1 author at 1 institution in 1 country.

Jian YangThe School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong, China. jianyang@hku.hk.
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent explosion of technological innovations in mobile technology, virtual reality (VR), digital dissection, online learning platform, 3D printing, and augmented reality (AR) has provided new avenues for improving preclinical education, particularly in anatomy and histology education. Anatomy and histology are fundamental components of medical education that teach students the essential knowledge of human body structure and organization. However, these subjects are widely considered to be some of the most difficult disciplines for healthcare students. Students often face challenges in areas such as the complexity and overwhelming volume of knowledge, difficulties in visualizing body structures, navigating and identifying tissue specimens, limited exposure to learning materials, and lack of clinical relevance. The COVID-19 pandemic has further exacerbated the situation by reducing face-to-face teaching opportunities and affecting the availability of body donations for medical education.To overcome these challenges, educators have integrated various educational technologies, such as virtual reality, digital 3D anatomy apps, 3D printing, and AI chatbots, into preclinical education. These technologies have effectively improved students' learning experiences and knowledge retention. However, the integration of technologies into preclinical education requires appropriate pedagogical approaches and logistics to align with educational theories and achieve the intended learning outcomes.The chapter provides practical guidance and examples for integrating technologies into anatomy, histology, and biochemistry preclinical education. The author emphasizes that every technology has its own benefits and limitations and is best suited to specific learning scenarios. Therefore, it is recommended that educators and students should utilize multiple modalities for teaching and learning to achieve the best outcomes. The chapter also acknowledges that cadaver-based anatomy education is essential and proposes that educational technologies can serve as a crucial complement for promoting active learning, problem solving, knowledge application, and enhancing conventional cadaver-based education.

Indexed as

COVID-19Education, MedicalCadaverHumansPandemicsTechnologyActive learningAnatomy and histologyEducational technologiesPreclinical education

Identifiers

PMID37644288
OpenAlexW4386261902

What OpenQuestion holds

Textmetadata
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.