07 Jul 2026
Pathology has long been the backbone of modern medicine. About 70% of clinical decisions rely on diagnostic testing, and tissue‑based diagnoses remain the gold standard for cancer and many complex diseases. Yet the pathology workforce that underpins those decisions is at a critical inflection point.
Today, a large cohort of practicing pathologists are reaching the traditional retirement age, creating a measurable gap between diagnostic demand and available staffing. Additionally, the discipline faces a convergence of challenges, including declining residency fill rates and geographic barriers to subspecialty expertise. At the same time, diagnostic complexity continues to rise—driven by precision medicine, expanding biomarker panels, and increasing cancer incidence in an aging population.
Increasingly, the question is no longer whether pathology should go digital, but whether organizations that delay will be able to sustain timely, high‑quality diagnostic care.
A workforce under strain: What is driving the pathology staffing shortage?
Pathology workforce constraints have been discussed for years, but their impact is becoming more acute due to the following factors:
- An aging workforce: A significant proportion of practicing pathologists are nearing retirement age, particularly in community and rural settings
- Pipeline pressure: Residency positions increasingly go unfilled in certain subspecialties, while trainee interest struggles to keep pace with rising diagnostic demand
- Geographic imbalance: Subspecialty expertise is heavily concentrated in academic centers and large metro areas, leaving many hospitals without ready access to dermatopathology, hematopathology, GI pathology, or molecular subspecialists
These trends collide with operational reality. Turnaround time expectations are tightening. Case volumes are rising. Burnout risk is escalating across pathology teams already stretched thin.
In an analog environment, where diagnoses rely on physical slide transport, manual workflows, and localized staffing, there is little flexibility to absorb these shocks.
Why analog pathology can’t scale to meet modern demand
Traditional pathology workflows were designed for a different era, one defined by local coverage models, standardized histology volumes, and slower diagnostic cycles. Today’s demands show their limits.
Physical glass slides must be:
- Sectioned, stained, staged, and transported
- Manually tracked and stored, often for more than a decade
- Interpreted one case at a time, through a microscope, at a single location
These constraints introduce delays and risk of slide loss or damage, and make rapid collaboration difficult, particularly when subspecialty consultation is required. In understaffed labs, this friction compounds fatigue and increases the likelihood of errors.
Put simply, analog pathology scales linearly with people. But the workforce is not scaling with demand.
Digital pathology: From innovation to infrastructure
Digital pathology is the process of converting glass slides into high-resolution whole-slide images that can be securely viewed, shared, analyzed, and managed using software platforms. This fundamentally changes the operating model.
Digitized pathology slides enable instantaneous access from anywhere, dissolving dependency on geographic limitations.
Digital infrastructure enables:
1. Geographic decoupling of expertise from location
Digitized slides can be securely accessed from anywhere, allowing cases to be routed to the most appropriate pathologist, regardless of physical location. This helps address:
- Regional staffing gaps
- Access to subspecialists
- Coverage for rural and underserved communities
Instead of shipping slides or transferring patients, expertise moves digitally.
2. More efficient use of limited pathology resources
Digital workflows reduce the non‑diagnostic friction that consumes pathologists’ time:
- No waiting on slide delivery
- No physical staging or batching
- Side‑by‑side comparison of multiple stains and levels
- Accessing a peer for feedback and input
This allows pathologists to work at the top of their license, focusing on interpretation rather than logistics, while enabling better workload balancing across teams.
3. Improved consistency, quality, and safety
Digital slides can be reviewed simultaneously by multiple experts, supporting:
- Faster second opinions
- Peer review and quality assurance
- Standardization across sites
As AI‑enabled tools mature, digital infrastructure also lays the foundation for assistive technologies that can help flag areas of concern, support quantification, and reduce variability in slide analysis, while keeping the pathologist firmly in control of diagnosis.
4. A platform for the future of precision medicine
Precision oncology and advanced biomarker testing increasingly depend on correlating histology with genomic and molecular data. Digital pathology allows tissue to become part of an integrated diagnostic dataset, supporting tumor content assessment, prognostic scoring, and future AI‑driven insights.
Without digital infrastructure, these capabilities remain fragmented and difficult to scale.
Who should be thinking about digital pathology now?
This shift is not limited to pathologists alone. It has direct implications for multiple stakeholders across the healthcare ecosystem:
- Laboratory and pathology leaders managing staffing shortages, turnaround times, and quality metrics
- Health system executives responsible for access to care, diagnostic consistency, and network-wide performance
- CIOs and digital leaders modernizing enterprise diagnostic and data infrastructure
For each of these groups, the pathology staffing cliff creates both a risk and an opportunity, depending on how proactively digital infrastructure is addressed.
Is digital pathology validated for clinical use?
Digital pathology systems are increasingly validated for clinical workflows, including primary diagnosis in many regions.
Successful adoption depends on appropriate validation protocols, regulatory alignment, and thoughtful workflow integration. Enterprise-ready infrastructure ensures that it is necessary to implement a digital pathology solution that is technically feasible, clinically reliable, and operationally sustainable.
Digital pathology is not “one thing;” strategy matters
A critical misconception is that digital pathology requires a single, monolithic technology choice. In reality, digital pathology encompasses a range of use cases, each with distinct requirements:
- Primary diagnosis
- Consultative and subspecialty review
- Cytology and screening
- Immunohistochemistry and prognostic marker analysis
- Clinical trials and biopharma research
Scalable digital strategies recognize this diversity. Interoperability, flexibility, and regulatory readiness matter more than rigid standardization. Organizations that approach digital pathology as enterprise infrastructure, rather than a point solution, are best positioned to adapt as needs evolve.
The hidden cost of waiting
Some healthcare organizations remain hesitant to adopt digital pathology tools, citing reimbursement uncertainty, validation complexity, or change management concerns. While these are real considerations, delay has its own cost.
Without digital pathology, the challenges facing pathology can become significant risks:
- Staffing shortages become productivity crises
- Turnaround times lengthen as volume grows
- Access to subspecialists remains constrained
- Recruiting and retaining pathologists becomes harder
Increasingly, pathologists expect digital tools and remote flexibility as part of modern practice. Institutions that lack this infrastructure may find themselves at a competitive disadvantage, not just clinically, but in recruiting and retaining pathologists.
From optional to essential: A new baseline for pathology
Digital pathology will not solve every workforce challenge, but without it, the gap between diagnostic demand and available expertise will continue to widen.
The future state of pathology is:
- Networked, not siloed
- Digital‑first, not slide‑bound
- Designed for collaboration, scale, and resilience
- Using AI to integrate initial image analysis with relevant clinical inputs and additional patient information
How Labcorp supports a digital-first pathology future
Labcorp’s digital pathology solutions are designed to help you extend access to subspecialty expertise, support remote collaboration, and maintain consistent diagnostic quality despite ongoing staffing constraints.
By supporting the transition to digital pathology, Labcorp enables:
- Faster turnaround times
- Flexible, distributed diagnostic workflows
- Scalable access to expert interpretation
This approach helps you navigate workforce challenges while building a more resilient pathology operating model designed for today’s realities and tomorrow’s demands.
Key takeaways: Why digital pathology is becoming essential
- The pathology workforce is shrinking while diagnostic demand continues to rise
- Analog workflows cannot scale without proportional staffing increases
- Digital pathology enables remote sign-out, subspecialty access, and workload balancing
- Delaying adoption increases operational risk, not just technical debt