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Developing a More Responsive Radiology Resident Dashboard.

Hongyu Chen1, Vineeth Gangaram2, George Shih3

  • 1Weill Cornell Medical College, 1300 York Ave, New York, NY, 10065, USA.

Journal of Digital Imaging
|September 29, 2018
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Summary
This summary is machine-generated.

Radiology residents often face uneven case distributions. A new dashboard uses natural language processing (NLP) to track resident training, identify gaps, and improve case assignments for a balanced curriculum.

Keywords:
DashboardsDeep learningMachine learningMedical educationNLPWeb development

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Area of Science:

  • Medical Education
  • Radiology Training
  • Health Informatics

Background:

  • Residency training programs face challenges in ensuring uniform exposure to diverse clinical cases.
  • Variability in caseloads can lead to educational gaps for residents, impacting overall competency.
  • Optimizing case distribution is crucial for a well-balanced radiology curriculum.

Purpose of the Study:

  • To develop a system for tracking resident procedures and case exposure.
  • To provide residents and attendings with insights into training progress and identify educational gaps.
  • To improve the assignment of future cases for a more equitable and comprehensive training experience.

Main Methods:

  • Implementation of a dashboard for residents and attendings to log procedures and seen cases.
  • Utilization of Natural Language Processing (NLP) techniques to process medical records.
  • Generation of statistics to describe individual resident progress and training patterns.

Main Results:

  • A functional system integrated within the NYP ecosystem for tracking resident training.
  • The system provides data-driven insights into individual resident caseloads and procedural experience.
  • Identified potential for caseload redistribution to address specific training deficits.

Conclusions:

  • A case-tracking dashboard can enhance resident insight into their training.
  • NLP-processed medical records offer valuable statistics for monitoring resident progress.
  • Improved tracking facilitates targeted case assignments to close individual training gaps and ensure a balanced curriculum.