Practical Answers About Pathology Business and Technology

How do you calculate ROI for digital pathology?

True ROI for digital pathology is found in subspecialty load balancing, reduced physical shipping costs, elimination of glass slide archiving retrieval, and incremental gains in pathologist efficiency. It requires modeling total cost of ownership against specific operational bottlenecks.

How should laboratories handle digital pathology storage costs?

Whole slide images are massive (often 1-3 GB each). Managing storage costs requires a tiered strategy: fast, expensive solid-state storage for active cases, and cheaper, slower cloud or tape archives for long-term retention.

How do you successfully sell AI to pathologists?

Selling AI to pathologists requires proving clinical reliability, demonstrating seamless LIS integration, and focusing on specific pain points (like quality assurance or tedious quantification) rather than abstract technological capabilities.

How does capital equipment sales work in pathology?

Pathology capital sales (like digital scanners) require multi-threading across clinical, operational, IT, and financial stakeholders, and are heavily dependent on annual hospital capital budget cycles.

How do you build a successful pathology outreach program?

A successful outreach program requires operating the hospital lab like a commercial business: investing in dedicated sales, ensuring rapid and reliable turnaround times, and providing specialized consultative support to ordering physicians.

What should you look for when evaluating laboratory M&A?

Beyond standard financial due diligence, laboratory M&A requires deep analysis of LIS compatibility, payer contract retention, subspecialty alignment, and operational capacity.

How do you design software specifically for pathologists?

Pathology software must prioritize speed, minimize clicks, support heads-up (or eyes-on-slide) workflows, and integrate flawlessly with the LIS. Design for a high-volume, high-stakes production environment.

How do you validate pathology AI in a clinical lab?

Validating AI means testing the algorithm against the laboratory's intended use and local variables—including stains, scanners, case mix, and workflow—to establish safe and reliable performance under the requirements and quality framework that apply to that laboratory.

What makes LIS integration so difficult?

LIS integration is difficult because many systems are decades old, highly customized, and rely on archaic messaging standards (like HL7 v2). Each integration is effectively a custom software project.