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Development of an interactive model for teaching emergency pediatric radiography: preliminary report. | LitMetric

AI Article Synopsis

  • The authors created an interactive digital module aimed at helping residents improve their skills in diagnosing pediatric radiology cases.
  • Cases were selected based on past misdiagnoses and included both abnormal and normal images, with an intuitive user interface and a database for tracking responses.
  • The module has been positively received, integrated into resident orientation, and has reportedly improved diagnostic performance, with further studies planned to evaluate its effectiveness.

Article Abstract

Purpose: The authors describe the development of an interactive digital teaching module designed to help prepare residents to diagnose emergency pediatric radiology cases.

Methods: Cases were identified using the authors' own dictation search software. Cases were selected that depicted common conditions that had been misdiagnosed by the radiology resident who had first interpreted them clinically. Normal cases involving similar anatomic regions were also collected. Images from these cases were captured from the picture archiving and communication system. "Hotspots" were superimposed on abnormalities to highlight them. Example dictations were captured. A simple user interface was developed for the teaching module, and a database was built to log all user responses.

Results: The system has been well received at the authors' institution. It has been incorporated into the standard orientation for all incoming residents. Residents' diagnostic performance has subjectively improved since the module was launched.

Conclusions: The module is interactive, easy to use, and subjectively improves incoming residents' diagnostic accuracy. A prospective, controlled study assessing its impact on short-term and long-term diagnostic performance is under way.

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Source
http://dx.doi.org/10.1016/j.jacr.2004.11.017DOI Listing

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