LigoLab Integrates AI-Powered OCR to Automate Lab Requisitions

LigoLab Integrates AI-Powered OCR to Automate Lab Requisitions

LigoLab has integrated artificial intelligence-powered optical character recognition technology from MarginLogic Health AI into its laboratory information system and revenue cycle management platform. The integration addresses a persistent workflow bottleneck: manual data entry from paper requisitions, physician orders, and insurance cards that laboratories receive before specimens reach testing phases.

The partnership enables clinical laboratories, reference labs, and pathology groups to automate requisition intake and accessioning processes. According to the companies, the technology captures, interprets, and validates data from both handwritten and printed documents, then transmits validated orders directly into the LigoLab platform with minimal human intervention.

How the Technology Works

MarginLogic Health AI's system differs from conventional OCR tools that simply convert images to text. The technology applies contextual artificial intelligence to understand clinical documents the way an experienced accessioner would, recognizing medical terminology and validating extracted information against expected formats.

The system assigns confidence scores to captured data. High-confidence requisitions flow through automatically, while fields with lower confidence scores are flagged for human review. This approach allows laboratory staff to focus on exceptions rather than retyping information that can be reliably extracted.

"Requisition intake and accessioning is where laboratories lose time and accuracy before a specimen even reaches the LIS," Jenny Bull, LigoLab's success director, said in a statement. "Pairing MarginLogic Health AI's OCR with our platform lets high-confidence orders flow straight through, so staff can focus on the exceptions instead of retyping what should already be structured data."

Target Use Cases

The integration targets laboratories that process significant volumes of faxed, handwritten, or paper requisitions. Even organizations with electronic ordering systems often receive non-integrated orders that require manual entry from external providers or facilities using incompatible systems.

The technology operates alongside existing laboratory interfaces. Electronic orders from provider electronic health records continue through established connections, while the AI automation handles paper-based and non-integrated requisitions that would otherwise require manual data entry.

Why It Matters

Manual requisition entry represents both an operational and financial vulnerability for laboratories. Transcription errors in patient demographics or insurance information can trigger claim denials and payment delays. By improving demographic accuracy at the point of intake, laboratories can reduce downstream revenue cycle friction while simultaneously accelerating specimen processing. The technology addresses a workflow stage that occurs before testing begins but directly impacts both turnaround time and reimbursement success.

Availability

MarginLogic Health AI solutions are now available to LigoLab customers through the marketplace agreement. Ammar Darkazanli, CEO and president of MarginLogic Health AI, noted that laboratories shouldn't lose hours retyping information already present in documents.

Details of the integration were first reported by Automation Watch.