The phrase fully connected gets thrown around a lot in healthcare technology discussions, often as aspirational language that papers over the reality of how fragmented clinical information systems actually are. In pathology, the aspiration is real and the gap to close is significant. A truly connected pathology lab is one where information flows without friction between every component of the workflow. The specimen tracking system knows what the imaging system has processed. The AI analysis results are visible alongside the case record. The pathologist’s sign-out is immediately reflected in the clinical system. The billing system has the data it needs without manual transfer. Getting there requires intentional architectural decisions about technology, integration, and workflow design.
The LIS as the Center of Gravity
The starting point for connectivity in a pathology lab is thelaboratory information system. The LIS is the center of gravity, the system that manages the case record and to which all other systems need to connect. An LIS that was built as a standalone application, without robust integration capabilities, creates a ceiling on how connected the lab can become. Modern LIS platforms that are designed for integration, with well-documented APIs, support for standard healthcare data formats like HL7 and FHIR, and pre-built connectors for common clinical systems, provide the foundation on which connectivity can be built.
The Layers of a Connected Lab
Building a fully connected lab involves assembling multiple technology layers that each contribute to the information flow:
- Layer 1 – The LIS core: specimen management, case assignment, workflow enforcement, and reporting
- Layer 2 – Digital imaging: whole slide scanners, image management servers, and digital slide viewers integrated with the LIS
- Layer 3 – AI analysis: algorithms that receive images, return structured results, and surface those results in the pathologist’s primary workspace
- Layer 4 – Clinical system connections: EHR integration, referring physician portals, and results delivery to clinical teams
- Layer 5 – Operational and financial systems: billing, inventory, scheduling, and performance reporting
Security and Privacy in a Connected Environment
Security and privacy are non-negotiable dimensions of connectivity. As more systems are connected and more data flows between them, the attack surface expands and the consequences of a security failure grow. Pathology labs handling sensitive patient information in connected digital environments need robust security architecture. Best practices include:
- Encryption of data in transit and at rest
- Role-based access controls that limit data exposure to those with a genuine need
- Comprehensive audit logging of all system access and data transfers
- Multi-factor authentication for system access
- Incident response capabilities that can contain breaches rapidly
Regulatory requirements around healthcare data security under HIPAA create minimum standards, but best practice in today’s threat environment goes considerably further than regulatory minimums.
The Practical Process of Building Connectivity
The practical process of building connectivity in a pathology lab is iterative rather than comprehensive. Labs that try to connect everything simultaneously rarely succeed. There are too many variables, too many dependencies, and too many opportunities for problems to cascade across newly connected systems. The more successful approach follows a staged pattern:
- Prioritize integrations by their operational and clinical impact
- Connect the highest-priority systems first and validate those connections thoroughly
- Build institutional expertise around integration management before expanding
- Expand the connected environment incrementally as the team develops confidence
- Monitor integration performance continuously and plan for version upgrades in connected systems
Connectivity as an Ongoing Investment
The fully connected pathology lab is not a destination that a lab arrives at and is then finished. It is an ongoing state of development as new systems are added, existing systems are upgraded, and new capabilities become available. The labs that are building connectivity now are developing the technical infrastructure, the organizational processes, and the institutional knowledge that will allow them to continue expanding and improving their connected environment as the technology evolves. The investment in connectivity is an investment in the capacity to benefit from future advances.
This article was submitted to Global Till by author Jeff Romero ofOctiv Digital. Global Till is not responsible for the information in this article.
