Literature DB >> 32140874

A think-aloud study to inform the design of radiograph interpretation practice.

Jong-Sung Yoon1, Kathy Boutis2, Martin R Pecaric3, Nancy R Fefferman4, K Anders Ericsson5, Martin V Pusic6,7.   

Abstract

Models for diagnostic reasoning in radiology have been based on the observed behaviors of experienced radiologists but have not directly focused on the thought processes of novices as they improve their accuracy of image interpretation. By collecting think-aloud verbal reports, the current study was designed to investigate differences in specific thought processes between medical students (novices) as they learn and radiologists (experts), so that we can better design future instructional environments. Seven medical students and four physicians with radiology training were asked to interpret and diagnose pediatric elbow radiographs where fracture is suspected. After reporting their diagnosis of a case, they were given immediate feedback. Participants were asked to verbalize their thoughts while completing the diagnosis and while they reflected on the provided feedback. The protocol analysis of their verbalizations showed that participants used some combination of four processes to interpret the case: gestalt interpretation, purposeful search, rule application, and reasoning from a prior case. All types of processes except reasoning from a prior case were applied significantly more frequently by experts. Further, gestalt interpretation was used with higher frequency in abnormal cases while purposeful search was used more often for normal cases. Our assessment of processes could help guide the design of instructional environments with well-curated image banks and analytics to facilitate the novice's journey to expertise in image interpretation.

Entities:  

Keywords:  Cognition; Education (medical); Emergency medicine; Instructional design; Radiology

Year:  2020        PMID: 32140874     DOI: 10.1007/s10459-020-09963-0

Source DB:  PubMed          Journal:  Adv Health Sci Educ Theory Pract        ISSN: 1382-4996            Impact factor:   3.853


  3 in total

1.  Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray.

Authors:  P Menéndez Fernández-Miranda; P Sanz Bellón; A Pérez Del Barrio; L Lloret Iglesias; P Solís García; F Aguilar-Gómez; D Rodríguez González; J A Vega
Journal:  J Digit Imaging       Date:  2021-03-08       Impact factor: 4.056

2.  Understanding radiographic decision-making when imaging obese patients: A Think-Aloud study.

Authors:  Grace Seo; John Robinson; Amanda Punch; Yobelli Jimenez; Sarah Lewis
Journal:  J Med Radiat Sci       Date:  2021-09-08

3.  Adaptation and validation of the Berlin questionnaire of competence in evidence-based dentistry for dental students: a pilot study.

Authors:  Laura Imorde; Andreas Möltner; Maren Runschke; Tobias Weberschock; Stefan Rüttermann; Susanne Gerhardt-Szép
Journal:  BMC Med Educ       Date:  2020-05-04       Impact factor: 3.263

  3 in total

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