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Why Modern Labs Must Move Beyond Manual Workflows and Legacy LIS Systems
May 12, 2026
Medical laboratories are under more pressure today than at any point in recent history. Staffing shortages continue to intensify. Reimbursement pressure is tightening margins. Regulatory scrutiny is increasing. Test volumes continue to rise, particularly in molecular diagnostics and specialized testing. At the same time, clients and patients expect faster turnaround times, seamless digital access, and higher service quality.
Against this backdrop, one reality has become increasingly clear: laboratories cannot overcome modern operational challenges using manual processes and outdated technology.
Automation is no longer optional.
For today’s clinical and pathology laboratories, widespread automation powered by advanced laboratory information system (LIS) software platforms has become essential for survival, scalability, and long-term relevance.
This three-part series explores the current state of automation in laboratory medicine, where automation is delivering the greatest operational gains, where manual inefficiencies persist, and why the future belongs to laboratories running fully integrated, automation-first laboratory information systems.
This first installment focuses on the current state of automation in modern laboratories and why legacy LIS systems are increasingly becoming barriers to efficiency.
Automation Has Evolved Beyond Instruments
Historically, automation in laboratory medicine centered primarily on instrumentation. Labs invested heavily in analyzers, track systems, and middleware to improve analytical throughput. While these technologies delivered measurable gains inside the analytical phase, they often left the broader clinical lab workflow fragmented and highly manual.
Today, laboratory leaders are evaluating automation far more holistically.
Modern labs now ask bigger operational questions:
- Does automation reduce total workflow touches?
- Does it improve turnaround time?
- Does it eliminate repetitive manual tasks?
- Does it improve laboratory billing accuracy?
- Does it integrate cleanly with other laboratory software systems?
- Does it create measurable ROI?
This shift is redefining how labs evaluate the best laboratory information system software and LIS system vendors. Automation is no longer considered just another software capability; it is increasingly recognized as a core operational strategy.
Discover More: Why Laboratory Leaders Are Re‑Thinking Their LIS System Strategies, and Where LigoLab Fits
The Current State of Automation: Most Labs Are Only Partially Automated
Despite years of investment in healthcare IT, most laboratories remain only partially automated.
Many organizations believe they are automated simply because they operate analyzers connected to a lab information system. But when lab workflows are examined closely, manual steps still dominate many environments:
- Paper requisitions
- Manual demographic entry
- Handwritten specimen tracking
- Manual CPT coding
- Manual claim reconciliation
- Manual result review
- Manual report distribution
- Separate LIS software and lab billing systems
- Spreadsheet-based workflow management
These disconnected processes create inefficiency, increase labor requirements, and introduce opportunities for costly errors.
The problem is especially severe among laboratories operating older LIS systems that were not built for automation-first workflows.
Many legacy LIS software vendors designed their applications during an era when interoperability, rules-based workflow automation, and real-time operational visibility were not priorities. As a result, laboratories often build years of manual workarounds on top of outdated foundations.
The result is operational friction at every turn.
Discover More: Turning Lab Pressure Into Performance - LigoVerse 2026 And What’s Next
Staffing Shortages Are Accelerating Automation Demand
The most immediate driver of automation adoption today is staffing pressure.
Laboratories are being asked to process higher testing volumes with fewer qualified professionals. Workforce shortages continue across pathology, clinical diagnostics, accessioning, laboratory revenue cycle management, and technical operations.
Automation has become one of the only scalable ways to address this imbalance.
Rather than replacing laboratorians, automation enables laboratories to redirect skilled staff away from repetitive administrative tasks and toward higher-value responsibilities such as:
- Exception handling
- Quality management
- Complex case review
- Client support
- Compliance oversight
- Operational optimization
The best laboratory information system software platforms are specifically designed to support this operational shift.
Discover More: How Much is Your Outdated Laboratory Revenue Cycle Management Costing Your Lab?
Why Workflow Automation Matters More Than Ever
One of the most important changes occurring in laboratory medicine is the recognition that pre-analytical and post-analytical workflows often create more operational inefficiency than the analytical phase itself.
Modern automation efforts are increasingly targeting these “bookends” of the lab workflow.
Pre-Analytical Automation
Areas seeing major gains include:
- OCR-based requisition scanning
- Automated demographic verification
- Eligibility checking
- Barcode-driven specimen tracking
- Rules-based specimen routing
- Automated order entry
- Intelligent queue management
These capabilities dramatically reduce manual data entry while improving specimen traceability and accuracy.
Post-Analytical Automation
Automation is also transforming:
- Result auto-verification
- Automated report generation
- Customized report delivery
- CPT/ICD coding
- Claims preparation
- Denial prevention workflows
- Client-specific distribution rules
Labs implementing modern LIS systems with strong rules-based automation engines are reducing turnaround times while significantly lowering administrative burden.
Get Insight: Unlocking Smarter Lab Operations - LigoLab’s Optional Automation and Intelligence Features
The Growing Importance of Integrated LIS Software and Lab Billing
One of the most overlooked areas of automation historically has been laboratory revenue cycle management (lab RCM).
Many labs still operate separate LIS software and laboratory billing systems, forcing staff to manually reconcile information between disparate platforms. These disconnected environments create:
- Data silos
- Compliance risks
- Coding inconsistencies
- Delayed reimbursement
- Manual claim corrections
- Revenue leakage
Today’s leading LIS vendors are moving toward fully integrated LIS systems with embedded laboratory billing solutions because automation cannot reach its full potential when operational and financial workflows remain disconnected.
This is one of the areas where LigoLab differentiates itself most clearly.
The LigoLab Informatics Platform combines advanced lab information system functionality, integrated laboratory billing, and rules-based workflow automation within a unified architecture designed specifically for modern pathology and clinical lab workflow management.
Instead of relying on disconnected systems and manual synchronization, labs can automate workflows from order entry through reimbursement.
Real-Time Visibility Is Becoming Essential
Another major trend reshaping the laboratory industry is operational visibility.
Labs today are significantly more data-driven than they were even a few years ago.
Modern laboratory information system software platforms increasingly provide:
- Real-time dashboards
- Queue monitoring
- Turnaround time analytics
- Workflow bottleneck tracking
- Productivity reporting
- Financial performance metrics
This visibility enables labs to identify inefficiencies proactively and target automation where it delivers the greatest operational impact.
Without this level of visibility, these organizations often automate blindly, investing heavily without understanding where their biggest workflow constraints actually exist.
On-Demand Webinar: Unifying Technical and Financial Operations to Minimize Denials and Prevent Revenue Leakage
Automation Is Not “Set It and Forget It”
One misconception still common in laboratory medicine is the idea that automation eliminates the need for human involvement.
It does not.
Automated labs reduce routine manual work, but successful automation initiatives require continuous refinement and strong operational leadership. The goal is not to remove people from laboratory medicine but to empower laboratorians to focus on work that genuinely requires human expertise.
Discover More: How to Prepare for Tomorrow’s Tech-Enabled Clinical Lab
The Laboratories That Will Thrive
The future of laboratory medicine belongs to organizations that embrace automation strategically rather than reactively.
Organizations that continue relying on fragmented legacy laboratory software systems, paper-based workflows, and disconnected lab billing processes will struggle under mounting operational pressure.
By contrast, laboratories implementing modern automation-first platforms will gain:
- Faster turnaround times
- Reduced staffing burden
- Higher lab billing accuracy
- Improved compliance
- Greater scalability
- Better operational visibility
- Stronger financial performance
Most importantly, they will position themselves to remain competitive in an increasingly demanding healthcare environment.
Editor’s Note: In Part 2 of this series, we will explore exactly where automation is delivering the greatest operational gains today, including accessioning, specimen tracking, result reporting, billing automation, and workflow orchestration, while also examining where manual processes still stubbornly persist.
FAQs: The Latest Automation Technology and How the Best Laboratory Information System Software Supports It
What is laboratory automation?
Laboratory automation refers to the use of advanced technologies, software, and rules-based workflows to streamline clinical and pathology lab operations. Automation can improve specimen tracking, order entry, result reporting, laboratory billing, and overall laboratory workflow management.
Why is automation becoming more important in medical laboratories?
Automation is becoming essential because laboratories face growing staffing shortages, rising test volumes, increasing reimbursement complexity, and stricter regulatory requirements. Modern automation helps labs improve efficiency, reduce manual work, and maintain scalability.
Are most laboratories fully automated today?
No. Most laboratories are only partially automated. While many labs have automated analyzers and instrument interfaces, manual processes often still exist in accessioning, billing, demographic entry, report distribution, and workflow management.
What are the biggest operational benefits of laboratory automation?
Modern laboratory automation can help reduce turnaround times, improve billing accuracy, minimize manual data entry, enhance specimen traceability, reduce errors, and improve operational visibility through real-time dashboards and analytics.
What role does an LIS system play in laboratory automation?
Advanced laboratory information system (LIS) software serves as the operational backbone of the lab. Modern LIS systems support workflow orchestration, rules-based automation, specimen tracking, lab billing integration, analytics, and interoperability with other healthcare systems.
Why are legacy LIS systems becoming a challenge for labs?
Many legacy LIS systems were not designed for modern automation, interoperability, or real-time visibility. As a result, labs often rely on manual workarounds, disconnected software systems, and spreadsheet-based processes that reduce efficiency and increase operational risk.
How does integrated laboratory billing improve lab operations?
Integrated laboratory billing helps eliminate data silos between the LIS and lab revenue cycle management systems. This improves coding accuracy, reduces claim errors, accelerates reimbursement, and minimizes revenue leakage by automating financial workflows from order entry through payment processing.
What areas of the lab workflow benefit most from automation?
The greatest gains are often seen in pre-analytical and post-analytical workflows, including OCR-based requisition scanning, barcode-driven specimen tracking, auto-verification, automated report delivery, eligibility checking, and denial prevention workflows.
Does automation eliminate the need for laboratorians?
No. Automation reduces repetitive manual tasks, but laboratories still rely heavily on skilled professionals for exception handling, quality management, compliance oversight, complex interpretation, and operational leadership.
Why are labs increasingly choosing automation-first LIS software platforms?
Automation-first LIS software platforms provide the flexibility, interoperability, workflow visibility, and rules-based automation capabilities needed to support modern laboratory operations. Labs adopting these platforms are often better positioned to improve efficiency, manage growth, and remain competitive.
