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AI-Powered Informatics Platform

AI Agents: Digital Labor Powering the Future of Laboratory Operations

The LigoLab Informatics Platform represents the next evolution of the laboratory information system — an advanced LIS powered by operational AI that reduces manual effort by 30 – 60% across critical processes.
EXPLORE

The LIS System of Action

While traditional LIS systems function primarily as systems of record, LigoLab goes further — actively interpreting and applying data in real time to guide decisions, automate workflows, and streamline both technical and financial operations.

Traditional LIS

System of Record

Store & retrieve data
Manual workflow management
Reactive error handling
Static reporting
LigoLab's Modern LIS

System of Action

Interpret & apply data in real time
Automated workflow orchestration
Proactive issue prevention
Intelligent, actionable insight

Stop Documenting. Start Orchestrating.

LigoLab’s AI strategy is actively taking shape across the laboratory ecosystem, transforming the LigoLab platform from a powerful LIS lab solution into an intelligent informatics platform, helping laboratories move from reactive management to autonomous, data-driven performance.

Analysis & Imaging
Available in the Marketplace
AI-powered virtual staining, automated image quantification, and intelligent pre-screening to accelerate review and enhance diagnostic efficiency.
Workflow Optimization
Live in Production
Intelligent case distribution optimizing pathologist workload with hands-free result entry.
Specimen & Order Processing
Live in Production
OCR conversion of paper requests to digital orders and AI-powered measurement/annotation of specimens.
Quality & Consistency
In Beta
AI assistant flags inconsistencies to ensure clarity and consistency before signing out.
Revenue Cycle
Q2 2026
AI automates coding, generates preliminary interpretations, and predicts claim denials for optimized billing.
Intelligence & Analytics
Q2 2026
Natural language analytics allow teams to query data conversationally, unlocking real-time operational and financial insights.

The Front Door
Accessioning & Grossing

AI-assisted workflow is redefining how specimens enter and move through the lab, turning accessioning and grossing into faster, smarter, and more standardized processes. By embedding AI directly into early-stage workflows, laboratories can dramatically reduce manual effort, improve accuracy, and accelerate turnaround times.

AI-Powered Requisition/Order Entry
  • OCR + LLM-driven extraction of requisition data
  • Automatic mismatch detection between requisition and specimen
  • Proactive flagging of medical necessity issues
  • Significant reduction in manual corrections

Up to 7x reduction in accessioning backlog

AI-Enabled Grossing Camera Integration
  • Automated measurement capture directly from hardware
  • Elimination of manual measurement entry
  • Reduced human error and documentation variability
  • Faster grossing workflows with standardized data capture
  • Auto-documentation of specimens that fit within a cassette

Up to 50% reduction in grossing time

The Diagnostic Assistant
Pathology Core

An advanced LIS system with integrated artificial intelligence is designed to support pathologists and laboratory professionals, not replace them. By acting as a continuous, intelligent second set of eyes, AI strengthens accuracy, consistency, and efficiency across core pathology workflows while preserving human oversight and clinical judgment.

AI-Powered Virtual Staining
  • Preserves precious tissue
  • Improves turnaround time (TAT)
  • Enables rapid case triage
  • Reduces slide preparation variability
  • Lowers manual labor demands
Dynamic Case & Resource Optimization
  • Prioritizes cases based on TAT, payer type, and complexity
  • Balances workload across pathologists
  • Predicts daily and weekly bottlenecks
  • Alerts teams as cases approach SLA/TAT thresholds
  • Suggests staffing adjustments proactively
Hands-Free Result Entry
  • AI-powered speech-to-text
  • Voice-driven system navigation (speech-to-operate)
  • Context-aware template autofill
Pre-Signout Review & Reporting Support
  • Enhances clarity and conciseness of reports
  • Promotes consistency in terminology
  • Suggests IHCs and differential diagnoses
  • Integrates knowledge support tools such as OpenEvidence

The CFO’s Favorite
RCM & Operations

LIS system-AI integration creates predictive profitability by proactively identifying revenue risks, optimizing coding accuracy, and transforming lab data into real-time financial intelligence. Instead of reacting to denials or chasing missed charges after the fact, laboratories gain forward-looking visibility that protects margins and strengthens cash flow.

Lab RCM & Denial Detection
  • Predictive denial scoring before claims are submitted
  • Intelligent billing queues that prioritize complex, high-value cases
  • Real-time eligibility verification
  • Integrated insurance discovery to reduce write-offs
Coding Automation
  • AI-powered CPT and ICD-10 suggestions based on clinical indications and pathology findings
  • Automatic medical necessity validation
  • Documentation gap detection before submission
  • Reduced coder review time through pre-populated, context-aware recommendations
Talk to Your Data
  • Ask natural-language questions and receive instant operational or financial answers
  • Predict workflow and revenue issues before they occur
  • Monitor KPIs without building dashboards or running reports
  • Detect anomalies in real time
  • Operate from a single source of truth across operations, quality, and revenue

The Patient Experience
New Differentiator

Advanced LIS systems enhanced with the latest AI technology can help bridge the gap between clinical reporting and patient understanding. By intelligently translating complex pathology and laboratory terminology into clear, patient-friendly language while preserving clinical accuracy, labs can improve engagement, trust, and outcomes without compromising physician oversight.

Clear Understanding of Key Findings
  • - Converts medical terminology into easy-to-understand explanations
  • - Highlights the most important results and what they mean
Actionable Lifestyle Recommendations
  • - Provides general, evidence-based wellness guidance aligned with results
  • - Encourages proactive health management
Guided “Next Steps” Roadmap
  • - Outlines when to follow up with a physician
  • - Suggests appropriate questions patients may ask their provider
Doctor-Approved and Trustworthy
  • - Maintains clinical oversight and approval
  • - Ensures explanations remain accurate, responsible, and aligned with  professional standards
Your Results Summary
Your tissue sample showed benign (non-cancerous) cells. This is a good result that means no cancer was detected.
What This Means
The small growth that was removed is not harmful. Your body is healthy in this area.
Next Steps
✓ Follow up with your doctor in 6 months
✓ Ask about routine screening schedule
PATHOLOGY REPORT
Specimen: Skin, left forearm, excision
Diagnosis: Benign fibrous histiocytoma (dermatofibroma)
Margins: Free of lesional tissue
Microscopic: Proliferation of spindle-shaped fibroblasts and histiocytes in a storiform pattern within the dermis.
ICD-10: D23.62
CPT: 88305

From Crawl to Run: A Practical AI Roadmap for Turning Lab Innovation Into Measurable Impact

The greatest value comes when AI is embedded directly into everyday workflows.

Crawl
Foundation
  • Identify error-prone & redundant workflows
  • Select low-risk, high-ROI use cases
  • Define success metrics
  • Engage internal champions
Walk
Integration
  • Embed AI into everyday workflows
  • Establish data governance
  • Build continuous feedback loops
  • Scale proven use cases
Run
Transformation
  • Autonomous operational decision-making
  • Predictive financial intelligence
  • End-to-end workflow automation
  • Sustainable performance driver

Ready to Transform Your Laboratory?

With strong data, proper governance, and continuous feedback, laboratories can transform AI into a sustainable driver of operational and financial performance.

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