Published February 2018 | Version v1
Journal article

Minimizing Barriers in Learning for On-Call Radiology Residents—End-to-End Web-Based Resident Feedback System

  • 1. MedStar Georgetown University Hospital, Department of Radiology (United States)
  • 2. Georgetown University School of Medicine (United States)

Description

Feedback is an essential part of medical training, where trainees are provided with information regarding their performance and further directions for improvement. In diagnostic radiology, feedback entails a detailed review of the differences between the residents' preliminary interpretation and the attendings' final interpretation of imaging studies. While the on-call experience of independently interpreting complex cases is important to resident education, the more traditional synchronous "read-out" or joint review is impossible due to multiple constraints. Without an efficient method to compare reports, grade discrepancies, convey salient teaching points, and view images, valuable lessons in image interpretation and report construction are lost. We developed a streamlined web-based system, including report comparison and image viewing, to minimize barriers in asynchronous communication between attending radiologists and on-call residents. Our system provides real-time, end-to-end delivery of case-specific and user-specific feedback in a streamlined, easy-to-view format. We assessed quality improvement subjectively through surveys and objectively through participation metrics. Our web-based feedback system improved user satisfaction for both attending and resident radiologists, and increased attending participation, particularly with regards to cases where substantive discrepancies were identified.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Digital Imaging (Online)
Journal Volume
31
Journal Issue
1
Journal Page Range
p. 117-123
ISSN
1618-727X

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50039918
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
COMPARATIVE EVALUATIONS; FEEDBACK; IMAGES; LEARNING; PERFORMANCE; RADIOLOGY; READOUT SYSTEMS; TRAINING
Descriptors DEC
EDUCATION; EVALUATION; MEDICINE; NUCLEAR MEDICINE

Optional Information

Copyright
Copyright (c) 2018 Society for Imaging Informatics in Medicine