Development of a Checklist to Prevent Reconstructive Errors Made By Undergraduate Dental Students

Abstract

Purpose To design a checklist in order to reduce the frequency of reconstructive preventable errors (PE) performed by undergraduate dental students at McGill University. Materials and Methods The most common PE occurring at a university dental clinic were identified by three reviewers analyzing the refunded cases, and used to create a preliminary checklist. This checklist was then validated by a panel of dental educators to produce a finalized 20‐item checklist. The 20‐question checklist was then submitted to students in a cross‐sectional survey‐based study to evaluate its relevance to undergraduate clinical education needs. Results As many as 81% of students reported to have forgotten at least one item of the checklist during care of their last patient, and the most forgotten checklist items corresponded to the pretreatment stage. The students also reported that 17 of the 20 items in the checklist were relevant to a considerable extent or highly relevant. Conclusion Common PE identified in the undergraduate clinic could be used to create a checklist of relevant items designed to reduce errors made by students and practitioners performing prosthodontic and reconstructive treatments. However, further studies are required to evaluate the implementation and efficiency of the checklist.

Detection of Periapical Lesions on Panoramic Radiographs Using Deep Learning

“…Diagnosing and documenting pathologies on dental radiographs is time-consuming and even though general and specialist dentists are well trained to do this, they are not exempt of human error. In fact, most complications in dental practice stem from misdiagnosis, which often involves missing out on noticing periapical lesions [30]. In this sense, the proposed technology could help clinicians fill dental charts, and minimize diagnosis errors in the detection of periapical lesions.…”