Pathology has always balanced old and new. The microscope still matters, and so does the trained eye behind it. But the way labs organize, track, and deliver their work has changed dramatically, and software sits at the center of that change.
In 2026, software no longer just stores case data. It shapes how pathologists read slides, how lab teams manage their day, and how practices grow without burning out their staff. Here’s how pathology labs put software to work this year.
Running the Lab From the Cloud
A few years ago, many labs still ran their LIS on servers tucked away in a back room. Someone had to maintain them, patch them, and worry about what would happen if they failed.
Today, more labs have moved to cloud-based platforms. The appeal is practical. Cloud software removes the burden of managing hardware, supports secure access from multiple locations, and makes updates far less disruptive.
For pathologists, cloud access also means flexibility. A pathologist covering cases for several sites can work from wherever they need to be, as long as the lab’s validation and security requirements are met. That flexibility has become especially valuable as labs compete for a limited pool of pathologists.
Bringing Digital Pathology Into Daily Workflow
Digital pathology dominates the conversation in 2026, though adoption is still early. Roughly one in ten U.S. labs has adopted it, and many others sit somewhere in between, scanning some cases while reading others on glass.
What has changed is how labs think about it. Early adopters learned that buying a scanner was the easy part. The hard part was the workflow. When slide images live in one system and the case lives in another, pathologists end up toggling between windows, retyping case numbers, and double-checking that the image matches the patient.
Labs now look for software that brings digital slides into the same place as the case. In that setup, labs use software to:
- Open digital slides directly from the case record
- Track which slides have been scanned, which are pending, and which remain glass only
- Flag failed or blurry scans as tasks for the histology team
- Keep digital and glass cases in one worklist
This approach lets labs move gradually. They can digitize one specialty or one site at a time instead of attempting a risky overnight switch.
Supporting Pathologists With AI
Artificial intelligence has found real footholds in pathology this year. Algorithms help detect tumor regions, assist with grading, and highlight areas a pathologist may want to examine more closely.
But AI only helps when it fits into the pathologist’s existing process. A standalone tool that requires a separate login and a separate viewer adds friction rather than removing it. That’s why labs increasingly favor AI tools that connect to their LIS and reporting workflow.
The pathologist still makes the diagnosis. Software simply helps them get there with fewer distractions and more consistency.
Routing Work Intelligently
Staffing remains one of the biggest pressures labs face. Software helps them do more with the team they already have.
Automatic case distribution has become standard in well-run labs. Instead of a supervisor assigning cases by hand each morning, the software routes cases based on rules the lab defines, such as:
- Pathologist subspecialty
- Client or referring provider
- Location
- Current workload
Worklists then show each pathologist and technician exactly what needs attention and in what order. Stat cases rise to the top. Cases nearing their turnaround deadline get flagged before they become late.
The result is less time spent coordinating and more time spent on actual pathology work.
Connecting With Clients Faster
Growth in pathology often depends on adding new clients, whether that means a new dermatology practice, a gastroenterology group, or a hospital system. Each new client usually needs an electronic connection for orders and results.
In the past, building those interfaces could drag on for months. In 2026, labs favor platforms with prebuilt connections to common EHRs, reference labs, and instruments. The faster a lab can connect, the faster it can start receiving cases and generating revenue.
Strong interoperability also improves the experience for referring providers. Orders arrive electronically, results return automatically, and nobody chases faxes.
Capturing Revenue Without Extra Effort
Billing has grown more complex, particularly for labs reading slides digitally. Digital pathology now carries more than 40 Category III add-on codes, each tied to a primary service.
Labs use software to capture those codes on the case as the work happens. When a pathologist signs out a case read digitally, the system documents it. When someone orders a stain or recut, the charge follows automatically.
This matters because manual charge capture almost always leaks revenue. It also keeps pathologists out of billing conversations they shouldn’t need to have after a case closes.
Measuring Performance in Real Time
Lab leaders in 2026 expect live data, not month-old reports. Built-in analytics give them a clear view of turnaround times, case volume by client, and pathologist productivity.
With that visibility, leaders can spot a bottleneck in histology before it affects turnaround, or see which clients are growing and plan staffing accordingly. Digital and glass work show up in the same numbers, which helps labs measure the real impact of their digital transition.
Giving Lab Teams More Control
Another quiet shift this year involves who configures the software. Labs no longer want to file a vendor ticket every time they need a new report template or workflow rule.
Self-service configuration lets lab staff make many of these changes themselves. That speeds up improvements and lets the people closest to the work shape how the system behaves.
Where NovoPath Fits
NovoPath reflects many of these 2026 priorities. Its cloud-based LIS supports anatomic, molecular, clinical, cytology, and veterinary pathology, and more than 300 laboratories rely on it. The platform now builds digital pathology directly into the LIS, so the case and its slides share one record, cases arrive complete before a pathologist opens them, and digitization codes get captured on the case.
Labs keep the scanners they already use and can go digital at their own pace. For practices caught in the hybrid middle ground, that combination of integration and flexibility makes the transition far more manageable.
Software as a Competitive Advantage
In 2026, the gap between labs often comes down to their software. Two labs with equally skilled pathologists can deliver very different results depending on how well their systems support the work.
Labs that use software to reduce handoffs, automate routine tasks, and connect their digital and glass workflows can grow without overwhelming their teams. Those still relying on disconnected systems will keep feeling the strain. The technology has matured. Now the question is how well each lab puts it to use.
