1989
DOI: 10.1111/j.1440-1673.1989.tb03266.x
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Problem‐Solving Model in Radiology for Medical Students

Abstract: Current undergraduate medical education is criticized for not preparing physicians to be independent thinkers. The rapid development of new imaging techniques and the problem of escalating medical costs call for efficient patient management. The development of algorithms in imaging work-up of patient problems is an excellent example of problem solving or medical decision making. The senior elective in radiology at our institution incorporates this type of problem-solving session. Small groups (15-25 students) … Show more

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Cited by 2 publications
(6 citation statements)
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“…This ability, combined with the use of an adaptable radiographic search pattern, has been shown to correlate with successful interpretation of radiographs. 4 The article “Problem-Solving Model in Radiology for Medical Students” 5 suggests that the use of algorithms will improve students’ ability to develop this skill set. The authors propose that radiology, with its multitude of rapidly developing imaging techniques and associated escalating costs, demands that students become proficient medical decision makers.…”
Section: Discussionmentioning
confidence: 99%
“…This ability, combined with the use of an adaptable radiographic search pattern, has been shown to correlate with successful interpretation of radiographs. 4 The article “Problem-Solving Model in Radiology for Medical Students” 5 suggests that the use of algorithms will improve students’ ability to develop this skill set. The authors propose that radiology, with its multitude of rapidly developing imaging techniques and associated escalating costs, demands that students become proficient medical decision makers.…”
Section: Discussionmentioning
confidence: 99%
“…It is important to note that virtually all of the research into factors determining diagnostic success has compared clinicians with differing levels of clinical experience. 17,18,20,22,28,30 This is also true of the studies evaluating diagnostic accuracy within radiology. 2±4 No studies prior to this one have investigated factors determining differences in radiological diagnostic success within students or clinicians with the same level of experience.…”
Section: Discussionmentioning
confidence: 96%
“…Their original instrument has been shown to demonstrate both strong reliability and validity for differentiating expert from novice diagnosticians. As radiology has frequently been described as a classic example of clinical problem solving, 7,14,22 it was logical that portions of this questionnaire should also differentiate more expert from less expert radiological diagnosticians.…”
Section: Development Of the Test Instrumentmentioning
confidence: 99%
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