Advancing Precision and Access in Pathology Diagnostics

Pathology teams are under pressure to deliver faster diagnostic answers while managing workforce shortages, growing procedure volumes and high expectations for accuracy. Fine needle aspiration procedures used in lung, thyroid and pancreatic assessments highlight this challenge. When specimens do not contain enough cellular material, patients are often called back for repeat procedures, prolonging anxiety, delaying treatment and adding strain to pathology departments. This fast and easy on-site interpretation is also beneficial to the site as it ensures appropriate samples are collected with immediate feedback during the procedure. The utilization has, however, been slow due to manual slide preparation and the need for specialized personnel and site-specific workup.

For hospital pathology labs evaluating pathology solutions, emphasis is on technologies that eliminate variables without altering clinical workflow. Manual specimen preparation can introduce inconsistency because slide quality often depends on the experience, speed and technique of individual cytotechnologists. Hand-smearing slides, air-drying them and processing stains through open containers can create bottlenecks during busy procedures. As a result, standardization has become closely linked to diagnostic confidence. Effective solutions should also preserve limited specimen material, support molecular testing requirements and minimize avoidable rework when samples are scarce.

Remote collaboration has become really important for modernizing pathology. Cytopathologists often move around procedure suites and labs to check specimen quality. This can cause delays, especially at small hospitals with limited expert help. But digital imaging paired with remote microscopy can connect pathology experts to different places without them having to travel. So, health systems are looking into tools that make specialists use more efficiently while still providing real-time feedback.

AI has also begun to impact the specimen review process, with results varying depending on slide quality and consistency. Learning models can provide benefits for the pathologist by enumerating nucleated cells, targeting diagnostically important areas of the slide, and expediting adequacy analysis. These functions are likely to be most useful in pathology if embedded within the pathology workflow rather than implemented as stand-alone applications. The enthusiasm for integrated systems (including specimen preparation, digital display, and AI-supported review as components of a single workflow) arises from the perceived ease of implementation and reduced dependence on multiple vendors.

ASP Health has built its approach around this intersection of automation, remote pathology access and AI-assisted review. Its pathology platform focuses on rapid onsite evaluation through three connected technologies: automated sample preparation, robotic remote microscopy and AI-supported cellular identification. Rose Prep Pro automates deposition and staining in a compact system that reduces manual variability and prepares slides in approximately 70 seconds. The workflow also has an aliquot specimen vial that seeks to reduce specimen loss while leaving material to test at later dates. The Rose View Pro system provides remote viewing, which allows pathologists to review slides off-site. Rose Assist Pro has added an AI-powered analysis tool that highlights diagnostic cells on a slide while providing real-time adequacy support.

This platform makes quick on-site evaluations more accessible beyond big academic centers. Small hospitals often don't have enough cytopathology staff for regular checks.  ASP Health’s solution reduces reliance on manual preparation and allows trained nurses or technicians to assist with the workflow without adding to clinical team workloads. The platform also accommodates future growth in related areas like surgical and veterinary uses. For pathology leaders looking to modernize, ASP Health provides a way to boost consistency, specialist access, and diagnostic workflow efficiency in cytology.