LigoLab Partners with MarginLogic to Automate Lab Requisitions

Laboratory automation gains ground in requisition processing

LigoLab has partnered with MarginLogic Health AI to embed artificial intelligence-powered document processing directly into laboratory requisition intake workflows, targeting a persistent manual bottleneck that affects clinical, reference, and pathology laboratories.

The integration connects MarginLogic's optical character recognition and intelligent document processing technology with LigoLab's laboratory information system platform, according to details first reported by Markets Insider. The partnership addresses requisition intake and accessioning—stages that remain labor-intensive despite decades of automation advances in downstream laboratory processes.

Laboratories continue to receive substantial volumes of handwritten, faxed, and scanned requisitions that require staff to manually review patient information, verify insurance details, enter orders, and resolve incomplete data before testing begins. This manual work introduces transcription errors, delays specimen processing, and creates downstream problems in billing and reimbursement.

How the integration works

The MarginLogic technology uses contextual AI to capture and interpret information from physician orders, laboratory requisitions, insurance cards, and patient demographics. Rather than simply converting images to text, the system validates and structures extracted data before routing it into LigoLab's unified LIS and revenue cycle management platform.

High-confidence orders flow directly into laboratory workflows, while incomplete or uncertain information is flagged for human review. This exception-based approach allows laboratory staff to focus attention on cases requiring judgment rather than processing every incoming requisition manually.

"Requisition intake and accessioning is where laboratories lose time and accuracy before a specimen even reaches the LIS," said Jenny Bull, Success Director at LigoLab. "Pairing MarginLogic Health AI's OCR with our platform lets high-confidence orders flow straight through."

Why it matters

Laboratories facing staffing shortages and rising testing volumes need automation that extends beyond instrumentation and core LIS functions. Manual requisition processing creates data quality problems at the earliest workflow stage—errors that compound through testing, reporting, and billing. By automating intake and accessioning, laboratories can reduce keystrokes, accelerate specimen processing, and improve downstream financial operations. The integration also complements rather than replaces existing electronic interfaces, allowing laboratories to automate paper-based orders while maintaining established EHR connections.

Hybrid approach preserves existing interfaces

The integration is designed to work alongside existing electronic order interfaces. Orders received electronically from provider EHR systems continue flowing through established connections, while MarginLogic processes paper-based, faxed, and scanned orders that would otherwise require manual entry.

"Laboratories shouldn't waste hours retyping what a document already contains," said Ammar Darkazanli, Chief Executive Officer and President of MarginLogic Health AI. "Our AI reads a clinical requisition the way an experienced accessioner would, interpreting context, validating what it captures, and flagging only the fields that genuinely need a human."

For LigoLab customers using the company's cloud-ready informatics platform, the integration extends automation capabilities beyond traditional LIS boundaries into front-end administrative processes.

The partnership details were announced by LigoLab in a statement reported by Markets Insider.