1st Congress of the International Academy of Digital Pathology Quebec City, Canada, August 3–5, 2011. Part IView this Special Issue
David S. McClintock, Roy E. Lee, John R. Gilbertson, "Using Computerized Workflow Simulations to Assess the Feasibility of Whole Slide Imaging Full Adoption in a High-Volume Histology Laboratory", Analytical Cellular Pathology, vol. 35, Article ID 726526, 8 pages, 2012. https://doi.org/10.3233/ACP-2011-0034
Using Computerized Workflow Simulations to Assess the Feasibility of Whole Slide Imaging Full Adoption in a High-Volume Histology Laboratory
Background: Whole slide Imaging (WSI) has been touted by many as the future of pathology, with estimates of full adoption occurring sometime in the next 5 to 15 years. While WSI devices have become increasingly capable since their inception, there has been little consideration of how WSI will be implemented and subsequently affect the workflow of high volume histology laboratories.Methods: Histology workflow process data was collected from a high-volume histology laboratory (Massachusetts General Hospital) and a process model developed using business process management software. Computerized workflow simulations were performed and total histology process time evaluated under a number of different WSI conditions.Results: Total histology process time increased approximately 10-fold to 20-fold over baseline with the presence of one WSI robot in the histology workflow. Depending on the specifications of the WSI robot, anywhere from 9 to 14 WSI robots were required within the histology workflow to minimize the effects of WSI.Conclusion: Placing a WSI robot into the current workflow of a high-volume histology laboratory with the intent of full adoption is not feasible. Implementing WSI without making significant changes to the current workflow of the histology laboratory would prove to be both disruptive and costly to surgical pathology.
Copyright © 2012 Hindawi Publishing Corporation and the authors. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.