Literature DB >> 29795777

Cognitive processing differences of experts and novices when correlating anatomy and cross-sectional imaging.

Lonie R Salkowski1,2, Rosemary Russ3.   

Abstract

The ability to correlate anatomical knowledge and medical imaging is crucial to radiology and as such, should be a critical component of medical education. However, we are hindered in our ability to teach this skill because we know very little about what expert practice looks like, and even less about novices' understanding. Using a unique simulation tool, this research conducted cognitive clinical interviews with experts and novices to explore differences in how they engage in this correlation and the underlying cognitive processes involved in doing so. This research supported what has been known in the literature, that experts are significantly faster at making decisions on medical imaging than novices. It also offers insight into the spatial ability and reasoning that is involved in the correlation of anatomy to medical imaging. There are differences in the cognitive processing of experts and novices with respect to meaningful patterns, organized content knowledge, and the flexibility of retrieval. Presented are some novice-expert similarities and differences in image processing. This study investigated extremes, opening an opportunity to investigate the sequential knowledge acquisition from student to resident to expert, and where educators can help intervene in this learning process.

Keywords:  cognition; expert–novice; human anatomy; medical imaging; simulation

Year:  2018        PMID: 29795777      PMCID: PMC5958290          DOI: 10.1117/1.JMI.5.3.031411

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  67 in total

1.  Bringing good teaching cases "to life": a simulator-based medical education service.

Authors:  James A Gordon; Nancy E Oriol; Jeffrey B Cooper
Journal:  Acad Med       Date:  2004-01       Impact factor: 6.893

2.  Perception of breast cancer: eye-position analysis of mammogram interpretation.

Authors:  Claudia Mello-Thoms
Journal:  Acad Radiol       Date:  2003-01       Impact factor: 3.173

3.  An acute care skills evaluation for graduating medical students: a pilot study using clinical simulation.

Authors:  David Murray; John Boulet; Amitai Ziv; Julie Woodhouse; Joe Kras; John McAllister
Journal:  Med Educ       Date:  2002-09       Impact factor: 6.251

4.  Simulation for Teaching and Assessment of Nodule Perception on Chest Radiography in Nonradiology Health Care Trainees.

Authors:  William F Auffermann; Travis S Henry; Brent P Little; Stefan Tigges; Srini Tridandapani
Journal:  J Am Coll Radiol       Date:  2015-09-28       Impact factor: 5.532

5.  Contributions of cognitive science and educational technology to training in radiology.

Authors:  A Rubin
Journal:  Invest Radiol       Date:  1989-09       Impact factor: 6.016

Review 6.  Research in clinical reasoning: past history and current trends.

Authors:  Geoffrey Norman
Journal:  Med Educ       Date:  2005-04       Impact factor: 6.251

7.  History of research in medical image perception.

Authors:  Harold L Kundel
Journal:  J Am Coll Radiol       Date:  2006-06       Impact factor: 5.532

8.  Assessing progression of clinical reasoning through virtual patients: An exploratory study.

Authors:  Elenita Forsberg; Kristina Ziegert; Håkan Hult; Uno Fors
Journal:  Nurse Educ Pract       Date:  2015-10-03       Impact factor: 2.281

9.  Teaching and assessing procedural skills using simulation: metrics and methodology.

Authors:  Richard L Lammers; Moira Davenport; Frederick Korley; Sharon Griswold-Theodorson; Michael T Fitch; Aneesh T Narang; Leigh V Evans; Amy Gross; Elliot Rodriguez; Kelly L Dodge; Cara J Hamann; Walter C Robey
Journal:  Acad Emerg Med       Date:  2008-09-26       Impact factor: 3.451

10.  Clinical reasoning in nursing, a think-aloud study using virtual patients - a base for an innovative assessment.

Authors:  Elenita Forsberg; Kristina Ziegert; Håkan Hult; Uno Fors
Journal:  Nurse Educ Today       Date:  2013-07-25       Impact factor: 3.442

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  1 in total

1.  Investigating the network structure of domain-specific knowledge using the semantic fluency task.

Authors:  Cynthia S Q Siew; Anutra Guru
Journal:  Mem Cognit       Date:  2022-05-24
  1 in total

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