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Adam Dubrowski

Researcher at University of Ontario Institute of Technology

Publications -  304
Citations -  5627

Adam Dubrowski is an academic researcher from University of Ontario Institute of Technology. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 36, co-authored 253 publications receiving 4851 citations. Previous affiliations of Adam Dubrowski include Memorial University of Newfoundland & St. John's University.

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Teaching surgical skills: what kind of practice makes perfect?: a randomized, controlled trial.

TL;DR: This study addresses the impact of an alternative method of training surgical skills using short courses, where learning is distributed over a number of training sessions, and finds that residents retain and transfer skills better if taught in a distributed manner.
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Teaching suturing and knot-tying skills to medical students: A randomized controlled study comparing computer-based video instruction and (concurrent and summary) expert feedback

TL;DR: It is shown that CBVI can be as effective as summary expert feedback in the instruction of basic technical skills to medical students and provides evidence supporting an increased role of summary feedback to effectively train novices in technical skills.
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Verbal feedback from an expert is more effective than self-accessed feedback about motion efficiency in learning new surgical skills

TL;DR: Verbal feedback from an expert instructor led to lasting improvements in technical skills performance, and providing information about motion efficiency did not lead to similar improvements.
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Coordinating progressive levels of simulation fidelity to maximize educational benefit.

TL;DR: It is suggested that clinical training curricula incorporate exposure to multiple simulators to maximize educational benefit and potentially save educator time.
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Laboratory-based vascular anastomosis training: a randomized controlled trial evaluating the effects of bench model fidelity and level of training on skill acquisition.

TL;DR: Training in the laboratory does improve skill when assessed in a realistic setting and both expertise groups showed better skill transfer from the bench model to live animals when practicing on high-fidelity models.