[1496] Development and Use of Genitourinary Pathology Digital Teaching Set for Trainee Education and Quality Assurance

L Li, BJ Dangott, AV Parwani. Albany Medical Center, Albany, NY; University of Pittsburgh Medical Center, Pittsburgh, PA

Background: Automated, high-speed, high-resolution whole slide imaging (WSI) robots are becoming increasingly robust and capable. This technology has started to have a significant impact on pathology practice in various aspects including resident education. Training in pathology is dependent on gaining broad exposure to these diagnostic patterns through teaching sets composed of glass slides. Whole slide imaging can provide additional educational benefits to using glass sides.
Design: A teaching set of over 250 glass slides has been used for resident education at the Division of Genitourinary Pathology, Department of Pathology, University of Pittsburgh Medical Center. Whole slide images are prepared using Aperio ScanScope CS scanner from these slides, which are de-identified. A web-based digital teaching model has been implemented at our institute using Oracle11g as the database server, SunOne as the web server, ColdFusion as the programming language, and a web middleware program to dynamically display information from a database. Case related information was obtained from electronic pathologic reports and uploaded with the corresponding whole slide images to the teaching model via a web-based data entry tool.
Results: The web site is available at: https://secure.opi.upmc.edu/genitourinary/index.cfm . It requires registration and log in. Once logged in, users can view the list of cases, and choose to show or hide the diagnoses. The search function allows searching by diagnosis or ICD-O site. A radio button is associated with each case which enables access to the case. ICD-O site, clinical history and gross description are initially shown. Whole slide images can be accessed by the links on the page that allows user to make diagnoses on their own. More information including final diagnosis will display when the diagnosis-button is clicked.
Conclusions: The web-based digital study set allows remote access to whole slide images and related information at the user's convenience. Searching and sorting functions and self-testing mode can be built in allowing more targeted study. The digital images can be annotated and the annotation can be displayed or hidden. Further, the model can be expanded to include pre-rotation and post-rotation exams, and/or to a virtual rotation system, which may potentially make standardization of pathology resident teaching possible in the future.
Category: Informatics

Monday, March 22, 2010 1:00 PM

Poster Session II # 169, Monday Afternoon

 

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