Download our Whitepaper
Building a business case for digital pathology in the absence of reimbursement is difficult. Scanners are expensive. Whole slide images are large and require a well-thought out strategy on network upgrades and data storage. And artificial intelligence is still in its nascency with very few examples of large scale deployments in routine day-to-day workflows.
Pathology in the Digital Age: Driving Value Through Transformation
In this whitepaper, PathAI provides an overview of how it has partnered with several institutions and laboratories around the world to build a business case for going digital. In particular, we dive into the following key questions:
- How do digital pathology workflows differ from manual pathology workflows?
- What capital, infrastructure, and people costs are associated with a lab going digital?
- How does going digital alone generate cost savings? Is this enough or does artificial intelligence need to be embedded into the image management system to drive ROI?
- Why do workflow solutions matter? Why have they been overlooked?
- How is PathAI (along with its partners) enabling laboratories to realize a return-on-investment with its IMS as well as AI applications that span use cases such as case prioritization, case triage, expedited and guided case review, quality control, scoring tools, and immunohistochemistry quantitation?
Learn more by reading about real-world case studies conducted in partnership with PathAI’s growing laboratory network and users across the United States, Europe, and South America.