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Issue title: 1st Congress of the International Academy of Digital Pathology Quebec City, Canada, August 3–5, 2011. Part I
Article type: Research Article
Authors: McClintock, David S. | Lee, Roy E. | Gilbertson, John R.
Affiliations: Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
Note: [] Corresponding author: David S. McClintock, MD, Department of Pathology, Warren Building 225, Massachusetts General Hospital, Boston, MA 02114, USA. Tel.: +1 773 405 9450; Fax: +1 617 643 4470; E-mail: [email protected]
Abstract: 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. Conclusions: 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.
Keywords: Whole slide imaging, virtual microscopy, workflow, histology, business analysis software, computer simulations, process modeling, BPMN
DOI: 10.3233/ACP-2011-0034
Journal: Analytical Cellular Pathology, vol. 35, no. 1, pp. 57-64, 2012
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