Digital Pathology Solution

With staffing shortages and the growing volume and complexity of tests, pathology laboratories face increasing pressure to boost efficiencies and improve workflows to effectively manage workloads with their current staffing levels. Many laboratories are considering digital pathology as an answer. Digital pathology offers numerous benefits, including:

Hyland Digital Pathology solution

The Hyand Digital Pathology solution, based on NilRead, Hyland’s enterprise viewer, and Acuo, our VNA image management solution, is designed to address the pathologist’s specific image interpretation and workflow requirements, while empowering labs to overcome challenges they face. With the Hyland Digital Pathology solution, pathologists gain the freedom and flexibility to complete specimen image interpretation outside of the laboratory on any device, increasing the speed with which they deliver a meaningful diagnosis.

NilRead for Digital Pathology enterprise viewer

NilRead for Digital Pathology is a feature-rich, diagnostic enterprise viewer with a class-leading, pathology-rendering engine for high-resolution imaging. It provides users with the ability to view, collaborate, teach and obtain second opinions from any high-resolution workstation. It also enables pathologists to work remotely on any device.

NilRead for Digital Pathology is a zero-footprint viewer that supports the natural workflow and tray metaphor to which pathologists are accustomed. The viewer is built on the open standard, DICOM for pathology, and can integrate with laboratory information systems (LMS, LIMS) and pathology quantitative solutions.

NilRead for Digital Pathology offers a viewer experience with:

  • Virtual microscope functions
  • White-viewer background
  • Force horizontal or vertical image panning
  • Specialty-specific structuring of pathology studies
  • Support for 4K monitors

Samples of the user interface:

Acuo, Hyland’s VNA image management solution

Acuo can manage larger data sets at higher speeds than traditional image archive systems — a must for pathology images that are often several times larger than typical radiology studies. Some of the storage platform’s features include its ability to manage storage at an object level and enable data routing for complex data workflows, including pre- and post-fetching and content-based routing. It also supports:

  • All major standard healthcare APIs
  • Content from multiple sources
  • Multiple departments, hospitals or labs
  • All major storage platforms