Dataset Information

An Introductory, Computer-Based Learning Module for Interpreting Noncontrast Head Computed Tomography.

ABSTRACT:

Introduction

New radiology and other residents must quickly assimilate a vast amount of anatomic and pathologic information when learning to interpret noncontrast head computed tomography (CT). No interactive, computer-based module using a search-pattern approach to provide new residents with the groundwork for interpretation of noncontrast head CT previously existed.

Methods

We developed such a learning module using PowerPoint. First-year radiology residents completed the module prior to their neuroradiology rotation, and neurology residents completed it during orientation. Residents took 20-question pre- and posttests to assess knowledge and a postmodule survey. Each resident was randomized to one of two pretests and took the opposite as the posttest. Scores were collected over 5 years for radiology residents and 4 years for neurology residents. Statistical analysis of scores was performed using t tests.

Results

Forty-seven first-year radiology residents and 31 neurology residents completed the module and the pre- and posttests. Scores for all residents either stayed the same or increased, regardless of the order of the versions of the pre- or posttests; the mean score increase was 4 (p < .0001) out of 20. Radiology residents had higher mean scores than neurology residents on the pre- and posttests, which were statistically significant (p < .04 and .0004, respectively). Feedback on the survey was overwhelmingly positive.

Discussion

This computerized learning module is effective for teaching basic interpretation skills to new radiology and neurology residents. The module allows for asynchronous, programmed learning and the use of a step-by-step search-pattern approach.

SUBMITTER: Gaetke-Udager K

PROVIDER: S-EPMC6342421 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Publications

An Introductory, Computer-Based Learning Module for Interpreting Noncontrast Head Computed Tomography.

Gaetke-Udager Kara K London Zachary N ZN Woolen Sean S Parmar Hemant H Bailey Janet E JE Barr Daniel C DC

MedEdPORTAL : the journal of teaching and learning resources 20180601

<h4>Introduction</h4>New radiology and other residents must quickly assimilate a vast amount of anatomic and pathologic information when learning to interpret noncontrast head computed tomography (CT). No interactive, computer-based module using a search-pattern approach to provide new residents with the groundwork for interpretation of noncontrast head CT previously existed.<h4>Methods</h4>We developed such a learning module using PowerPoint. First-year radiology residents completed the module ...[more]

PMID: 30800921

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Dataset Information

An Introductory, Computer-Based Learning Module for Interpreting Noncontrast Head Computed Tomography.

Introduction

Methods

Results

Discussion

Publications

An Introductory, Computer-Based Learning Module for Interpreting Noncontrast Head Computed Tomography.

Similar Datasets

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