Why Seamless IMS-LIS Integration Is Essential for Digital Pathology

Unified digital workflows connecting IMS to LIS unlock efficiency, compliance, and the full potential of AI for modern pathology

Digital pathology has moved decisively from experimentation into everyday practice. For pathology organizations, it now underpins clinical workflows, operational efficiency, and long-term strategy. To enable remote sign-out and AI-driven analysis, organizations have turned to Image Management Systems (IMS) that can organize, track, and contextualize whole slide images across the diagnostic workflow.

However, the data needed to interpret those images extends well beyond what an IMS typically manages. Patient demographics, clinical context, specimen metadata, test orders, results, finalized reports and more all live in a separate but equally critical system: the Laboratory Information System (LIS). For groups accustomed to thinking primarily in terms of image workflows, the LIS can feel like a parallel universe, yet it is the system of record for nearly all non-image pathology data. When IMS and LIS platforms operate in isolation, inefficiencies emerge, context is lost, and the promise of digital pathology remains only partially realized.

As digital pathology programs mature, it is becoming evident that success depends not only on performance, scale, and regulatory readiness, but also on seamless interoperability. In this article, we explore why deep, context-aware integration between an IMS and a modern LIS is essential to unlocking the full value of digital pathology. We’ll examine the practical challenges this integration resolves and the strategic benefits it enables for pathology groups advancing toward a fully digital, AI-enabled future.

Image Management Systems (IMS) in Digital Pathology

A digital pathology image management system (IMS) goes far beyond mere image viewing. At its best, it is an enterprise-grade platform designed to manage the entire lifecycle of digital pathology images across clinical, research, and educational workflows, and serving as the backbone of digital pathology operations, supporting everything from secure storage to AI integration and multi-institution collaboration.

Core Capabilities of a Modern Digital Pathology IMS

A robust IMS typically includes:

  • Advanced Slide Viewing: High-performance visualization across multiple formats (SVS, NDPI, SCN, DICOM, BigTIFF, and more), synchronized multi-slide viewing, annotations, overlays, and fast rendering.
  • Centralized Data Management: Secure, scalable image storage, on-premises, cloud, or hybrid, with governance controls and long-term data stewardship.
  • Security and Compliance: HIPAA-grade protections, encryption, audit trails, role-based access, and regulatory readiness for clinical use.
  • Workflow Integration: Case management, task tracking, and seamless interoperability with LIS, EHR, PACS, and other enterprise laboratory software systems.
  • User Roles and Access Control: Granular permissions ensure that only authorized users access sensitive data, while maintaining accountability.
  • Collaboration Tools: Support for remote consults, tumor boards, education, and peer review through shared environments.
  • AI and Image Analysis Enablement: Integration with AI models for detection, quantification, and pattern recognition, embedded directly into diagnostic workflows.
  • Regulatory Readiness: Many IMS platforms are designed to meet FDA, HIPAA, GDPR, IVDR, and other regulatory standards. Some, such as PathPresenter’s clinical viewer, are FDA 510(k) cleared and EU-IVDR certified for primary diagnosis when paired with approved scanners.

In short, an IMS provides a comprehensive infrastructure for digital pathology. It can be highly capable on its own, handling slide storage, visualization, annotations, and even AI outputs. But when it operates independently from the laboratory’s core operational system, its impact is inherently limited. Rather than dissolving legacy barriers, a disconnected IMS can unintentionally recreate them in digital form.

True digital pathology maturity is reached only when images and laboratory data function as a single, coherent workflow. Without that alignment, pathology groups often find themselves managing parallel systems that never quite converge.

The Operational Cost of Keeping IMS and LIS Separate

When image workflows and laboratory workflows are not connected at a foundational level, pathology teams encounter familiar but amplified challenges, including:

  • Reliance on manual reconciliation of cases and slides
  • Repeated entry of patient and specimen data
  • Frequent toggling between systems during case review
  • Greater exposure to mismatches, omissions, and reporting errors
  • Disjointed compliance records spanning multiple platforms
  • Collaboration slowdowns across sites and subspecialties

In isolation, each issue may seem manageable. At scale however, particularly in regulated, high-throughput environments, they compound rapidly, eroding both efficiency and confidence in the digital workflow.

Rethinking the LIS: More Than a Back-End Database

For many digital pathology teams, the LIS is perceived primarily as a static repository: the place where orders originate and reports ultimately land. While that historical role remains essential, it no longer reflects how modern laboratories operate.

From Passive Record-Keeping to Active Workflow Orchestration

Today’s laboratories increasingly require systems that do more than store information. A modern LIS such as LigoLab functions as an operational engine: driving workflow logic, enforcing rules, automating handoffs, and presenting the right context at the right moment.

When an IMS is natively integrated into this environment, digital pathology is no longer an external tool that users “visit.” Instead, image review becomes a natural extension of the laboratory workflow, governed by the same logic, permissions, and traceability as the rest of the case lifecycle.

What Integrated LIS–IMS Workflows Enable Day to Day

In a genuinely unified digital pathology environment:

  • Digital slides are opened directly from the laboratory case, not searched for separately
  • Patient, specimen, and order context flows automatically into image review
  • Movement between data, images, and reports feels continuous rather than segmented
  • Auditability covers both diagnostic decisions and image interactions end to end
  • AI outputs appear within established workflows rather than as side-channel tools

This level of integration changes how work is performed: not by adding features, but by removing friction.

LIS-IMS integration

Core Challenges Solved by Deep Integration

1. Smoother, Faster Diagnostic Workflows

When image access is embedded within the laboratory system, pathologists spend less time navigating software and more time interpreting cases. Reduced friction translates directly into faster turnaround and lower cognitive load.

2. Scalable Support for Remote Practice

Integrated platforms make location largely irrelevant. Secure remote sign-out, real-time collaboration, and distributed subspecialty review become standard operations rather than exceptions.

3. Better Decisions Through Complete Context

Images rarely tell the full story on their own. Tight coupling between LIS and IMS ensures that diagnostic interpretation always occurs alongside the complete clinical and specimen context, reducing the risk of incomplete assessment.

4. Stronger Governance and Compliance

When images and laboratory data share a unified audit framework, compliance with regulatory and accreditation requirements becomes simpler and more defensible—without added administrative burden.

5. A Practical Path to Enterprise AI

AI delivers value only when it operates inside real workflows. Integrated LIS–IMS environments provide the governance, data access, and workflow hooks required to deploy AI responsibly and at scale.

Integration in the Real World: From Concept to Practice

A practical example of this approach can be seen in the collaboration between PathPresenter and LigoLab. Rather than treating image management as an external system, PathPresenter’s clinical viewer is embedded directly within LigoLab’s enterprise laboratory platform.

The result is a unified diagnostic experience where pathologists interact with slides in the same environment where cases are managed, orders are tracked, and reports are finalized. This tight coupling reduces navigation overhead, accelerates review cycles, and establishes a solid foundation for future AI-driven enhancements.

Related: LigoLab and PathPresenter Announce Strategic Partnership to Deliver Seamless Digital Pathology Workflows

Building Toward a Unified Digital Pathology Future

At its core, LIS–IMS integration is not about software convenience. It is about redefining how pathology work flows from accessioning through diagnosis and reporting.

When laboratory data and images operate as one system:

  • Operations gain visibility and automation
  • Financial teams benefit from cleaner alignment with billing and revenue workflows
  • Clinical staff gain modern tools that reduce manual effort
  • Patients benefit from faster, more consistent diagnostic outcomes

As digital pathology, AI, and remote diagnostics continue to evolve, this alignment moves from “nice to have” to mission critical. Pathology groups that invest early in deep, contextual integration position themselves not just to digitize slides, but to fundamentally modernize how pathology is practiced.

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Digital Pathology Basics: Image Viewers vs. Image Management Systems

Image Viewer vs IMS comparison

In brief

  • An image viewer focuses on the basics of viewing and interacting with digital slides.
  • A digital pathology IMS manages the entire lifecycle of digital pathology images within a clinical, research, or educational workflow.

As digital pathology becomes more integrated into clinical, academic, and research settings, it’s important to distinguish between the tools used in this domain. Two common types of software encountered are pathology slide viewers and digital pathology image management systems (IMS). While they may appear similar on the surface (both enable users to access and interact with digital slides) they are fundamentally different in terms of scope, features, and intended use.

Pathology Slide Viewer: A Focused Viewing Tool

A pathology slide viewer is a software application designed primarily for visualizing digitized pathology slides, also known as whole slide images (WSIs). These tools typically allow users to open and navigate high-resolution scans of tissue specimens. Common features include zooming, panning, rotation, and the ability to add simple annotations or measurements.

These viewers can be used by pathologists for reviewing cases, by students for learning, or by researchers for image analysis. They may be standalone desktop applications or web-based platforms. Some viewers are vendor-specific, tied to a particular scanner or image format, while others are open source or multi-format compatible. However, pathology slide viewers are limited in scope. Their main purpose is to enable manual, visual inspection of slides. They typically do not provide broader workflow functionality, user management, or system integrations. For small-scale or individual use, slide viewers are handy tools. But their limitations will quickly become apparent.

Digital Pathology Image Management System (IMS): A Comprehensive Platform

In contrast, a digital pathology image management system (IMS) such as PathPresenter is a comprehensive, enterprise-grade software solution that manages the entire lifecycle of digital pathology data. It includes not only the viewing of whole slide images, but also the organization, tracking, analysis, and sharing of those images in clinical and research workflows. An enterprise deployment of an integrated digital pathology workflow will almost certainly require a fully featured IMS.

IMS connects all the pieces for a seamless workflow

A robust IMS typically includes the following core capabilities:

  • Slide Viewing: IMS platforms provide high-quality visualization with features like synchronized multi-slide viewing, annotation, overlays, and fast rendering across many file formats (svs, ndpi, scn, dcm, bigtiff, etc.).
  • Data Management: IMS centralizes and secures pathology data with on-premise, cloud, or hybrid storage options.
  • Security: IMS must meet strict standards (e.g., HIPAA), ensuring PHI confidentiality, integrity, and availability while protecting against threats.
  • Workflow Integration: Platforms support case management, task tracking, and diagnostic, research, or education workflows, often with integrated security like SSO.
  • User Roles & Access Control: Permission-based access and audit trails ensure only authorized users can view sensitive data while maintaining accountability.
  • Interoperability: IMS integrates with LIS, PACS, EHR, and other systems. PathPresenter is vendor-agnostic, with integrations to leading systems such as EPIC Beaker and LigoLab.
  • Collaboration Tools: Multi-user environments enable real-time sharing, remote consults (e.g., PathPresenter’s ConsultConnect), and team-based diagnosis or education.
  • AI and Image Analysis: Advanced IMS platforms integrate AI for detection, quantification, and pattern recognition. PathPresenter partners with leading vendors including Paige, Aisencia, Aiforia, MindPeak, Pictor Labs, Primaa, DeepLIIF, DiaDeep, Artera and IBEX to embed models within its workflow. PathPresenter powers the College of American Pathologists’ (CAP) AI Studio, which lets member test drive AI models from multiple vendors in one site with a common UI.
  • Regulatory Compliance: IMS solutions are generally designed to meet HIPAA, FDA, GDPR, and or IVDR standards depending on the application and jurisdiction. PathPresenter’s clinical viewer is FDA 510(k) cleared and EU-IVDR certified for primary diagnosis with approved scanners.

Key Differences and Use Cases

While both a slide viewer and an IMS allow for digital slide visualization, their purposes differ greatly. A slide viewer is ideal for simple, low-volume, or individual use cases, such as academic review, research projects without extensive collaboration, or basic diagnostic reference. It is generally easy to deploy and use, and may come free of charge or at a low cost.

A digital pathology IMS, on the other hand, is suitable for high-volume, regulated environments such as hospitals, diagnostic labs, and collaborative research institutions. These systems are designed to scale with demand, handle multi-user scenarios, and provide robust governance and compliance. They also support complex workflows involving multiple roles, locations, and datasets.

Choosing between a viewer and an IMS depends on the specific requirements of the organization or individual, whether it’s ease of access and simplicity, or full integration, scalability, and workflow optimization.

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Choosing the Right Digital Pathology Workflow Partner: So Many Options

Digital pathology is rapidly evolving into a central component of modern diagnostics, education, and research. The adoption of whole slide imaging, artificial intelligence (AI), and cloud-based platforms is reshaping workflows and collaboration. But technology alone does not guarantee success—choosing the right workflow partner is the critical factor that determines whether digital transformation delivers meaningful impact.

Core Elements of a Strong Workflow Partnership

1. Domain Knowledge and Expertise of the Vendor

Every digital pathology journey is a journey, so choosing a vendor with deep domain knowledge and expertise is critical. To consider:

  • Does the vendor have extensive experience in pathology workflows?
  • Are they able to identify the gaps in pathology workflows?
  • Do they have the experience to serve as a guide to a successful implementation?

Domain expertise and experience contribute directly to a successful implementation.

2. Interoperability

A digital pathology platform must integrate seamlessly with existing systems. This includes:

  • LIS/EMR compatibility through HL7, DICOM, and other standards.
  • Support for diverse file formats (WSI, JPEG, DICOM).
  • Ability to integrate scanners, AI tools, and storage infrastructure.

Interoperability ensures that digital pathology becomes part of the clinical workflow, not an isolated add-on.

3. Scalability and Flexibility

Institutions vary in size and needs, but a platform should be able to grow with them. Key factors include:

  • Handling both small-scale implementations and large archives of millions of slides.
  • Flexible deployment models (cloud, hybrid, on-premise).
  • Configurable workflows that adapt to clinical, educational, and research use cases.

A scalable partner protects investments and avoids costly migrations later.

4. Security and Compliance

Patient data and digital slides are sensitive assets. A trusted partner must provide:

  • HIPAA-compliant infrastructure.
  • Strong data encryption and access controls.
  • Transparent chain-of-custody management.
  • Regular security audits and compliance certifications.

This foundation ensures safety, trust, and regulatory alignment.

5. User Experience and Adoption

Even the most advanced technology fails if users resist it. A partner should prioritize:

  • Intuitive user interfaces that mimic the glass slide experience.
  • Tools that support pathologists’ natural workflows (annotation, conferencing, consults).
  • Minimal technical barriers for both in-house and remote users.

Familiarity breeds confidence, leading to higher adoption and satisfaction.

6. AI Enablement and Future-Proofing

Digital pathology is closely tied to AI innovation. An ideal partner should:

  • Support annotation tools for AI training and validation.
  • Offer seamless deployment of algorithms within the workflow.
  • Provide APIs and middleware for integration with multiple vendors.

Future-proofing with AI ensures the platform remains relevant as the field advances.

7. ROI and Value Creation

Institutions must justify investment with clear returns. Value comes from:

  • Reduced storage and logistics costs.
  • Faster turnaround times for consultations and sign-outs.
  • Enhanced collaboration and education opportunities.
  • Ability to monetize research data through partnerships.

The right partner helps institutions build a compelling business case.

8. Collaboration and Cultural Fit

Technology is only half of the equation; the other half is people. The partner should demonstrate:

  • Willingness to co-develop solutions.
  • Strong track record of customer engagement and support.
  • Transparent communication and long-term commitment.

A true partner invests in mutual success rather than a transactional relationship.

Future Directions

Digital pathology partnerships will increasingly be shaped by:

  • Standardization through DICOM adoption and interoperability frameworks.
  • Enterprise imaging integration, aligning pathology with radiology and other disciplines.
  • Practical AI applications, moving from hype to validated, clinically useful tools.

These trends will demand partners who are both innovative and realistic, balancing future readiness with present-day reliability.

Conclusion

Choosing the right digital pathology workflow partner is about creating bridges—between systems, between people, and between present workflows and future possibilities. The decision should be guided by interoperability, scalability, security, usability, AI readiness, ROI, and cultural fit.

When these elements align, institutions unlock the full potential of digital pathology: efficient operations, powerful collaboration, enriched education, and most importantly, improved patient care.

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PathPresenter has guided a wide range of organizations to success on their digital pathology journey. Interested in discussing your own challenges? Contact us.

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Pathoverse Part 1: Introducing the Pathoverse

This article summarizes part 1 of our “Into the Pathoverse” webinar, recorded at Pathology Visions 2025 in San Diego and available on-demand. Watch the full video.

Every major innovation begins with a spark—a problem so persistent and universal that someone finally decides to solve it. For PathPresenter, that spark came from a challenge faced by pathologists everywhere: managing digital pathology images at scale.

In his opening segment of the Pathoverse webinar, Dr. Raj Singh described how the company emerged from his frustration as a practicing pathologist with the growing complexity of image management. Handling a handful of digital slides was easy. But as datasets grew, image formats multiplied, and systems evolved independently, turning those images into usable, accessible clinical assets became a major challenge. What pathologists truly needed, he argued, was a seamless environment where cases appeared when needed, workflows were smooth, and data interoperability happened quietly in the background.

That vision became the foundation of PathPresenter.

A Platform Built by Pathologists, for Pathologists

Dr. Singh emphasized that PathPresenter was never conceived as a technology-first company. Instead, it was built around deep domain knowledge and the lived experience of practicing pathologists. The team behind it—largely pathologists themselves—understood the daily frictions of digital pathology. Their goal was straightforward: create tools they would be proud to use in their own departments.

One of the platform’s defining characteristics is its agnostic design. PathPresenter supports virtually any scanner, AI algorithm, LIS environment, or storage setup. This flexibility reflects a simple reality: pathology labs operate with diverse systems, and forcing uniformity only creates new barriers.

This commitment has paid off. The open PathPresenter platform has grown to more than 70,000 users across 180 countries, with institutions uploading data from every type of scanner and imaging modality. In the U.S., more than 60 institutions now use the enterprise version of the platform for clinical, educational, and research workflows. This global scale has provided the PathPresenter team with unparalleled real-world experience in managing digital pathology data.

Filling Gaps in Digital Pathology

Throughout the webinar, Dr. Singh highlighted how PathPresenter has consistently focused on solving unmet needs in the digital pathology space. Early on, education emerged as a critical gap. In response, PathPresenter developed what has become one of the most widely used digital training platforms for pathology residents and fellows.

The company then expanded into remote consultations, building the first robust digital consult platform. Later came a biobanking module designed to help institutions unlock the value of their data by making it securely accessible to researchers, AI developers, and pharmaceutical partners.

Together, these components form an end-to-end ecosystem that supports:

  • Clinical diagnosis and consultation through an enterprise case management system with an FDA-approved viewer
  • Education and training through digital classrooms at more than 30 institutions
  • Research and discovery through HIPAA-compliant biobanking and data-sharing tools

These capabilities now power multiple petabytes of managed data for major medical centers including MSKCC, Cincinnati Children’s, Summit Health, and leading diagnostic networks across Asia such as Dr. Lal PathLabs and Agilis.

Building an Interconnected Digital Pathology Ecosystem

Dr. Singh underscored a theme that ran throughout his presentation: no single organization can advance digital pathology alone. Progress requires meaningful collaboration across industry, academia, and clinical practice.

To that end, PathPresenter has built extensive partnerships with scanner manufacturers, AI companies, pharmaceutical organizations, and research institutions. This interconnected approach ensures that innovations don’t remain isolated in silos, but instead reach pathologists, oncologists, researchers, and even patients through real-world workflows.

AI is a prime example. While many companies create impressive algorithms, those tools become clinically valuable only when connected to a broader ecosystem. PathPresenter integrates multiple AI models directly into its platform to enable use in diagnosis, quantification, research, and even patient-centered report interpretation. These integrations, Dr. Singh explained, demonstrate how the platform acts as the connective tissue of digital pathology—linking data, experts, and technology.

Introducing the Pathoverse

All of this work naturally led to the concept at the heart of the webinar: the Pathoverse.

Dr. Singh described the Pathoverse as a global digital infrastructure that connects pathology workflows with the rapidly expanding universe of new technologies—virtual staining, 3D pathology, synthetic data, digital twins, AI-driven drug discovery, and more. Each of these fields requires real-world data, standardized workflows, and seamless integration. The Pathoverse provides those foundations through three key pillars:

  1. Trusted workflows validated through enterprise-scale use
  2. Global adoption and community, uniting tens of thousands of users
  3. Seamless interoperability with hardware, software, and data systems

These pillars form a launchpad where new ideas can move from prototype to real-world deployment efficiently and securely.

Powering Collaboration 

PathPresenter’s role is to connect global communities of innovators, including pathologists, educators, researchers as well as AI developers, hardware manufacturers, and advanced software companies to enable them to build together, rather than in isolation. By eliminating technological barriers, the Pathoverse turns fragmented silos into connected systems.

This approach is already producing tangible results. During the webinar, Dr. Singh highlighted three active collaborations that exemplify the model:

  • ConsultConnect, which benefits from alignment with Grundium and AWS
  • A clinical-trial-to-real-world-data integration with Imagenomix
  • The widespread deployment of DeepLIIF, created by Dr. Saad Nadeem at MSKCC

These partnerships demonstrate how the Pathoverse accelerates innovation and brings emerging technologies directly into clinical and research environments.

Dr. Singh’s introduction set the stage for the rest of the Pathoverse webinar by showing not only how PathPresenter began, but also how it has grown into one of the most important connective platforms in digital pathology today—bridging the work pathologists do now with the technologies that will define the future.

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Interested in learning more about how these solutions can help solve your own challenges? Contact us.

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PathPresenter and Aisencia partner for AI-Powered Workflows

Calling all AAD2025 attendees! See the future of dermatopathology workflows at the PathPresenter booth (number 816). We have partnered with AI vendor Aisencia to expedite how dermatopathologists sign out cases. Meet with PathPresenter’s Cory Batenchuk, and Catherine Cline and see how to optimize your digital derm workflow for speed, efficiency, and precision.

By combining cutting-edge AI technology with decades of dermatopathology expertise, we have created a unique workflow optimized for speed, efficiency, and precision.

Why Choose PathPresenter + Aisencia?

Our founder, Dr. Rajendra Singh, brings over 20 years of dermatopathology experience to this innovative solution. His insights have been instrumental in designing a system that delivers maximum efficiency and accuracy for dermatopathologists. Aisencia is an AI company specifically focused on dermatopathology and digital workflows, with a first-of-its-kind model that already detects and classifies 50+ types of skin lesions.

Key Features

Smart Case Prioritization

  • AI ranks cases from suspicious to non-suspicious, ensuring high-priority cases are reviewed first.

AI-Powered Macro-Based Reporting

  • Reports are pre-populated by AI for faster sign-out.
  • Upcoming voice command integration allows seamless updates and corrections.

DermPath Assist

  • AI Chatbot trained specifically for dermatopathology 
  • Functions as a co-pathologist, offering diagnostic suggestions based on case features.

Flexible Case Sign-Out

  • Supports TC/PC models for signing out cases by institution or external sites.
  • Dermatologists can push cases back to the main organization when needed.

LIS Integration

  • Fully deployed with CoPath, NovoPath, and Epic Beaker for a seamless workflow experience.

Powered by Aisencia

With AI-based case prioritization and macro-reporting that condenses the results of 50+ precision AI models for dermal lesions, our solution is set to make a significant impact on dermatopathology workflows.

Let’s Connect!

We’re excited to share how AI is reshaping digital pathology. Visit us at AAD2025 (booth 816) and discover how PathPresenter and Aisencia can transform your institution’s dermatopathology practices.

Let’s drive innovation together!