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Application and exploration of interprofessional education in the teaching of plastic and reconstructive surgery: a narrative review.

作者信息

Sun Yingfei, Mao Jiayi, Su Yinghong, Xia WenZheng, Li Qingfeng, Zan Tao

机构信息

Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai, 200011, P. R. China.

出版信息

BMC Med Educ. 2024 Dec 20;24(1):1501. doi: 10.1186/s12909-024-06423-w.

DOI:10.1186/s12909-024-06423-w
PMID:39702156
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11661318/
Abstract

The growing discussion on "interdisciplinary integration" brings attention to the "interprofessional education" (IPE) in the field of plastic surgery. IPE not only improves the precision and effectiveness of plastic and reconstructive surgery but also plays an important role in personalized treatment. Whereas, the implementation of IPE in plastic and reconstructive surgery field faces huge difficulties such as technology combination, standard making, and lacking of qualified talents. This article individually summarizes the latest developments in the integration of plastic and reconstructive surgery with engineering, basic science, and human science. It looks forward to the future practice and innovation of IPE in the field of plastic and reconstructive surgery, analyzes the challenges in cultivating innovative professional talents, and proposes methods to overcome these difficulties in a way that invites further discussion.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/afc0f1f574cb/12909_2024_6423_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/b93fe608bd31/12909_2024_6423_Sch1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/4b412dfcd841/12909_2024_6423_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/2e3f01a1e0fd/12909_2024_6423_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/afc0f1f574cb/12909_2024_6423_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/b93fe608bd31/12909_2024_6423_Sch1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/4b412dfcd841/12909_2024_6423_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/2e3f01a1e0fd/12909_2024_6423_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae99/11661318/afc0f1f574cb/12909_2024_6423_Fig3_HTML.jpg

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Application and exploration of interprofessional education in the teaching of plastic and reconstructive surgery: a narrative review.

BMC Med Educ. 2024-12-20

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[4]
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本文引用的文献

[1]
A landscape analysis of digital health technology in medical schools: preparing students for the future of health care.

BMC Med Educ. 2024-9-16

[2]
Three-Dimensional Printing in Surgical Education: An Updated Systematic Review of the Literature.

J Surg Res. 2024-8

[3]
Perception of enhanced learning in medicine through integrating of virtual patients: an exploratory study on knowledge acquisition and transfer.

BMC Med Educ. 2024-6-11

[4]
Segmental Mandibulectomy and Mandibular Reconstruction with Fibula-Free Flap Using a 3D Template.

J Pers Med. 2024-5-11

[5]
Pioneering Microsurgery Services in Low-income Countries: Insights from a Plastic Surgeon's Experience in Ethiopia.

Plast Reconstr Surg Glob Open. 2024-4-5

[6]
Comparing Graduating Plastic Surgery Residents' Case Logs With Accreditation Council for Graduate Medical Education Requirements, Content at National Meetings, and In-Service Examination Test Items.

Ann Plast Surg. 2024-4-1

[7]
Pubertal gynecomastia incidence among 530,000 boys: a cross sectional population based study.

Front Pediatr. 2024-3-6

[8]
Intracellular proteomics and extracellular vesiculomics as a metric of disease recapitulation in 3D-bioprinted aortic valve arrays.

Sci Adv. 2024-3

[9]
Prediction model for haematoma after tissue expander placement: A retrospective cohort study of 7080 cases over 20 years.

J Plast Reconstr Aesthet Surg. 2024-4

[10]
Development of a virtual reality-based zygomatic implant surgery training system with global collision detection and optimized finite element method model.

Comput Methods Programs Biomed. 2024-1

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