Workflow Efficiency And Diagnostic Accuracy Of A Digital Pathology System

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Presentation Summary:

Implementation of digital pathology for routine primary diagnosis will transform the pathology practice, and usually represents a massive change from standard laboratory operating procedures. Professor Lee will share how Seoul National University Hospital (SNUH) developed and implemented protocols and procedures to ensure diagnostic accuracy with digital pathology.

Learning Objectives:

  1. Get tips and tricks on how to ensure diagnostic accuracy with digital pathology
  2. Learn from early adopters on how to enable routine primary diagnosis with a comprehensive deployment strategy

Speaker Biography:

Professor Lee graduated from Seoul National University College of Medicine in 2002 and is a Clinical Professor at Seoul National University Hospital (SNUH). She specialized in hepato-pancreatic biliary pathology, renal pathology, and bone & soft tissue pathology.

In Seoul National University Hospital (SNUH), Professor Lee manages the pathology department’s laboratory automation and computerization system since 2010. She is also on the Korean Society of Pathologists (KSP) committee board as Information Director.

Professor Lee led the digital pathology project at SNUH in 2018, where she introduced a digital pathology system for primary diagnosis; a first in Korea. Besides heading the digital pathology project at SNUH, Professor Lee is passionate about advocating the value of digital pathology, automation of pathology workflow for primary diagnosis and establishment of data-pipeline for computational pathology.

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