Literature DB >> 23770063

Simulation-based training in radiology.

Sharjeel H Sabir1, Shima Aran1, Hani Abujudeh2.   

Abstract

Although the apprenticeship model of medical training has been in use for centuries, there are several problems with its use. The fundamental ethical principle of nonmaleficence requires that no preventable harm come to patients involved in the training process. In addition, changing medical practice patterns with shorter hospital stays and duty-hour restrictions are making it difficult for trainees to be exposed to enough patients to prepare them to deal with the many possible scenarios they may face in practice. Despite these limitations, the apprenticeship model cannot be completely rejected because it is essential for trainees to perfect their technique by caring for real patients with the guidance of experienced practitioners. Simulation-based training can allow novices to learn from their mistakes in a safe environment and in accordance with the principles of deliberate practice, thus allowing simulation to be a bridge to help get trainees from the novice state, in which they have a higher risk of causing harm, to a more experienced state in which they are more likely to do what is needed for patients.
Copyright © 2014 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Radiology; apprenticeship model; principle of nonmaleficence; quality; simulation; training

Mesh:

Year:  2013        PMID: 23770063     DOI: 10.1016/j.jacr.2013.02.008

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  3 in total

1.  Determining procedures for simulation-based training in radiology: a nationwide needs assessment.

Authors:  Leizl Joy Nayahangan; Kristina Rue Nielsen; Elisabeth Albrecht-Beste; Michael Bachmann Nielsen; Charlotte Paltved; Karen Gilboe Lindorff-Larsen; Bjørn Ulrik Nielsen; Lars Konge
Journal:  Eur Radiol       Date:  2018-01-09       Impact factor: 5.315

2.  Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education.

Authors:  Chintan Shah; Karapet Davtyan; Ilya Nasrallah; R Nick Bryan; Suyash Mohan
Journal:  J Digit Imaging       Date:  2022-10-24       Impact factor: 4.903

3.  Endovascular embolization techniques in acute thoracic and abdominal bleedings can be technically reproduced and trained in a standardized simulation setting using SLA 3D printing: a 1-year single-center study.

Authors:  Reinhard Kaufmann; Christoph J Zech; Michael Deutschmann; Bernhard Scharinger; Stefan Hecht; Klaus Hergan; Richard Rezar; Wolfgang Hitzl; Matthias Meissnitzer
Journal:  Insights Imaging       Date:  2022-04-09
  3 in total

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