Ohio Veterinary Lab Adopts Standardized Disease Coding
The state laboratory is the first to adopt the Dx code system to improve national swine health surveillance.
Updated on Oct. 15, 2026 in Diseases — General
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The Ohio Veterinary Diagnostic Laboratory has implemented the Dx code framework to standardize pathologist-confirmed tissue diagnoses. This initiative marks the first adoption of the system by a veterinary laboratory outside the Iowa State University Veterinary Diagnostic Laboratory.
Why it matters
This project aims to increase the geographic coverage and representation of swine disease surveillance data across the United States. By standardizing reporting, researchers can better track disease trends across multiple regions.
The system currently supports reporting for over 40 pathogens affecting the U.S. swine industry. This data covers samples originating from both Ohio and West Virginia.
The players
Ohio Veterinary Diagnostic Laboratory
This facility is the first veterinary lab outside of Iowa State University to adopt the standardized Dx code framework.
Swine Health Information Center
This organization provided the funding necessary to support the implementation and development of the disease coding project.
Swine Disease Reporting System
This entity receives automated data collections via an application programming interface for broader disease surveillance.
The details
The project transferred the Dx code matrix into the laboratory information management system and built an automated application programming interface for data collection. This software bridge enables seamless reporting to the Swine Disease Reporting System.
Timeline
2026: Anticipated publication of a peer-reviewed assessment regarding swine disease co-occurrences.
The Big Picture
The laboratory implementation provides a new, standardized data stream to the Swine Disease Reporting System. This initiative extends the existing surveillance network by integrating regional diagnostic findings into a unified national database.
The use of standardized diagnostic coding improves the accuracy and speed of disease surveillance for producers and veterinarians. This system helps provide more reliable health insights for those managing swine populations in the region.
The takeaway
The adoption of a standardized coding framework offers a scalable model for other laboratories to modernize their reporting processes. By creating a unified database, stakeholders can better analyze pathogen co-occurrences and improve regional disease prevention strategies.
Further reading
Learn more about agricultural health surveillance in our Ohio Diseases — General section.
Source note: This article includes information reported by National Hog Farmer.
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