Literature DB >> 22733836

The future of simulation technologies for complex cardiovascular procedures.

Christopher U Cates1, Anthony G Gallagher.   

Abstract

Changing work practices and the evolution of more complex interventions in cardiovascular medicine are forcing a paradigm shift in the way doctors are trained. Implantable cardioverter defibrillator (ICD), transcatheter aortic valve implantation (TAVI), carotid artery stenting (CAS), and acute stroke intervention procedures are forcing these changes at a faster pace than in other disciplines. As a consequence, cardiovascular medicine has had to develop a sophisticated understanding of precisely what is meant by 'training' and 'skill'. An evolving conclusion is that procedure training on a virtual reality (VR) simulator presents a viable current solution. These simulations should characterize the important performance characteristics of procedural skill that have metrics derived and defined from, and then benchmarked to experienced operators (i.e. level of proficiency). Simulation training is optimal with metric-based feedback, particularly formative trainee error assessments, proximate to their performance. In prospective, randomized studies, learners who trained to a benchmarked proficiency level on the simulator performed significantly better than learners who were traditionally trained. In addition, cardiovascular medicine now has available the most sophisticated virtual reality simulators in medicine and these have been used for the roll-out of interventions such as CAS in the USA and globally with cardiovascular society and industry partnered training programmes. The Food and Drug Administration has advocated the use of VR simulation as part of the approval of new devices and the American Board of Internal Medicine has adopted simulation as part of its maintenance of certification. Simulation is rapidly becoming a mainstay of cardiovascular education, training, certification, and the safe adoption of new technology. If cardiovascular medicine is to continue to lead in the adoption and integration of simulation, then, it must take a proactive position in the development of metric-based simulation curriculum, adoption of proficiency benchmarking definitions, and then resolve to commit resources so as to continue to lead this revolution in physician training.

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Year:  2012        PMID: 22733836     DOI: 10.1093/eurheartj/ehs155

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  7 in total

1.  Basic surgical training in Ireland: the impact of operative experience, training program allocation and mentorship on trainee satisfaction.

Authors:  K E O'Sullivan; J S Byrne; T N Walsh
Journal:  Ir J Med Sci       Date:  2013-04-20       Impact factor: 1.568

2.  Prospective, randomised and blinded comparison of proficiency-based progression full-physics virtual reality simulator training versus invasive vascular experience for learning carotid artery angiography by very experienced operators.

Authors:  Christopher U Cates; Lars Lönn; Anthony G Gallagher
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2016-02-08

Review 3.  Computational fluid dynamics modelling in cardiovascular medicine.

Authors:  Paul D Morris; Andrew Narracott; Hendrik von Tengg-Kobligk; Daniel Alejandro Silva Soto; Sarah Hsiao; Angela Lungu; Paul Evans; Neil W Bressloff; Patricia V Lawford; D Rodney Hose; Julian P Gunn
Journal:  Heart       Date:  2015-10-28       Impact factor: 5.994

Review 4.  Congenital Heart Surgery Skill Training Using Simulation Models: Not an Option but a Necessity.

Authors:  Shi-Joon Yoo; Nabil Hussein; David J Barron
Journal:  J Korean Med Sci       Date:  2022-10-03       Impact factor: 5.354

5.  The role of a simulator-based course in coronary angiography on performance in real life cath lab.

Authors:  Ulf J Jensen; Jens Jensen; Göran Olivecrona; Gunnar Ahlberg; Bo Lagerquist; Per Tornvall
Journal:  BMC Med Educ       Date:  2014-03-12       Impact factor: 2.463

6.  Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students.

Authors:  David Roy Warriner; Martin Bayley; Yubing Shi; Patricia Victoria Lawford; Andrew Narracott; John Fenner
Journal:  BMC Med Educ       Date:  2017-11-21       Impact factor: 2.463

7.  European expert consensus on a structured approach to training robotic-assisted low anterior resection using performance metrics.

Authors:  S Tou; M Gómez Ruiz; A G Gallagher; K E Matzel
Journal:  Colorectal Dis       Date:  2020-08-17       Impact factor: 3.917

  7 in total

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