Below is an article I wrote for ADVANCE for Laboratory Professionals, Perspectives In Pathology.
By Amanda Lowe
Digital pathology is often described as the scanning of a glass slide into a whole slide image; yet, it is much more. It is so much more, in fact, that pathologists and laboratory professionals find themselves puzzled with how it will affect their future. As technology progresses, we must start to understand how to put the pieces of it together—from acquisition to integration to data management and interpretation.
Acquisition
Acquisition of a whole slide image from a glass slide is done on a slide scanner, which creates the image necessary for interpretation. Important elements of slide preparation and patient information can make the acquisition process simple or complex.
Slide preparation is a crucial and often overlooked element of digital pathology. Pathologists can handle slide artifacts such as folds and air bubbles under a microscope; slide scanners are not always as forgiving. Also, staining has to be perfected, not only for scanning but for accurate interpretation and use with image analysis software. Poor staining can result in tissue not being scanned, inaccurate image analysis data—and in the worst case—a wrong diagnosis.

Traditionally, when glass slides are prepared, they are manually matched with the patient paperwork (including patient history, requisition and gross review), then delivered to the pathologist. With digital pathology, the process looks different. You now have whole slide images that need to be reconciled to the digital patient paperwork, then delivered to the pathologist. The only way to do this is with a laboratory information system (LIS), electronic medical record (EMR) integration, and bar codes. Bar codes will reduce human error, save time on the constant need for verification and re-checks, and improve quality assurance by tracking all specimens throughout the histology process.
Integration
The LIS and often the EMR need to share information with the digital pathology software to create a pathology picture archiving and communication system (PACS) that consolidates all patient paperwork, gross images and whole slide images for interpretation. This is the most important but also the most difficult piece for labs to handle. The process can be costly and require collaboration of two or more vendors, which can be a frustrating and hard process to manage. However, it can be accomplished with a plan, a budget and someone to manage the project.
Data Management
Many hospitals do not have adequate IT resources or the expertise to handle their already stressed storage demands. Yet these whole slide images have to be stored somewhere. Unfortunately, most IT departments do not understand the fundamentals of digital pathology. Pathology leaders and their lab personnel must improve communication with their IT departments and take an active role in educating IT on the realistic needs of the department now and over the next five years. Hospitals have to prepare for the increase in lab data and pathology images that will soon be their future.
To estimate your whole slide image storage needs, divide the number of surgical slides your lab generates per year by 3,500 to get an estimate of terabytes needed annually; 3,500 is the average number of whole slide images per one terabyte.
Healthcare providers are required to save medical records for a specified time; for most, this is a minimum of seven years. Security is not optional, and HIPAA mandates backup and disaster recovery plans for patient records, including all medical images. The specialty of pathology will not be an exception to the rule.
Interpretation
One goal of digital pathology is to enhance the sign-out process for pathologists. Pathologists should be able to sit down at a computer monitor to sign out digital cases retrieved from a pathology PACS system. Easy access to archived cases for disease progression or comparison, rapid case sharing and consultations, data mining for decision support and image analysis will all help improve the diagnostic process.
Powered by the rapid and endless growing portfolio of image analysis algorithms, pathology will transition from a qualitative to a quantitative discipline. Digital pathology partnered with image analysis will create the infrastructure necessary so pathologists can confidently determine the severity of a disease and predict responses to a target therapy.
Digital pathology streamlines laboratory workflow, enhances the sign-out process, and can improve diagnostic outcomes and treatment responses for patients while at the same time forge a new foundation for the use of pathology data to drive translational research and higher standards of care.