Setting Up an ePathology Service at Cleveland Clinic Abu Dhabi: Joint Collaboration With Cleveland Clinic, United States. Academic Article uri icon

Overview

abstract

  • CONTEXT.—: The production of whole slide images is the most advanced form of digital pathology, in which a high-resolution digital scanner is used to rapidly scan glass microscope slides and produce a computer-generated whole slide image that can be saved, stored in a network-attached storage device, and accessed through slide management software within the hospital domain and remotely by authorized users. Digital transformation of glass slides has revolutionized the practice of anatomic pathology by facilitating and expediting consultative services, improving clinical workflow, and becoming an indispensable tool in education and research. OBJECTIVE.—: To highlight the institutional need of Cleveland Clinic Abu Dhabi (Abu Dhabi, United Arab Emirates) and the cultural background for obtaining the United Arab Emirates' first comprehensive digital pathology program; to describe a multiphase road map for achieving full implementation of this platform; and to describe the system's clinical applications and its future potential growth. DATA SOURCES.—: At Cleveland Clinic Abu Dhabi, we prioritized our efforts to initiate digital consultations (eConsultations) and digital immunohistochemistry services (eIHC) with Cleveland Clinic Laboratories (Cleveland, Ohio). After this, we established an internal archiving system together with a subspecialty-based, organ-specific digital library of pathologic diseases. CONCLUSIONS.—: We describe the strategic adoption and implementation of digital pathology into the clinical workflow of the pathology and laboratory medicine institute of Cleveland Clinic Abu Dhabi, and we highlight its impact on clinical operations, educational activities, and patient care.

publication date

  • April 24, 2018

Research

keywords

  • Cytodiagnosis
  • Image Interpretation, Computer-Assisted
  • Pathology, Clinical

Identity

Scopus Document Identifier

  • 85053700879

Digital Object Identifier (DOI)

  • 10.5858/arpa.2017-0216-RA

PubMed ID

  • 29688032

Additional Document Info

volume

  • 142

issue

  • 10