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Peer-reviewed veterinary case report

COSREEL: computerised recording system for herd health information management.

Journal:
The Veterinary record
Year:
1983
Authors:
Russell, A M & Rowlands, G J

Plain-English summary

COSREEL is a computer system designed to help manage health information for cattle, sheep, and pigs at a research institute. Unlike other systems that use numbers, COSREEL uses a flexible coding method that allows for detailed recording of diseases, symptoms, treatments, vaccinations, and test results. It helps herd managers and veterinarians by generating reports on the health and productivity of individual animals, including reminders for pregnancy checks or investigations into infertility. The paper discusses how this system works and its potential for creating a central database to analyze animal health trends in the future. Overall, COSREEL aims to improve the management of livestock health information.

Abstract

COSREEL (Computer System for Recording Events affecting Economically important Livestock) is an animal health recording system which has been designed for the management of cattle, sheep and pigs kept at the ARC Institute for Research on Animal Diseases. Unlike other, numerical, coding systems for the recording of disease, COSREEL has a versatile alpha-numeric coding system which can record diagnosis of disease, local and general symptoms, medical and surgical treatment, vaccination and antiserum therapy, therapeutic management changes and tests with their results. The system is used for recording management, veterinary and milk data, and is a terminal based system using a remote computer. Various lists for action are produced for both herd managers and clinicians including weekly reports of the production and fertility status of individual cows, and lists of cows due for pregnancy diagnosis or infertility investigation. This paper describes the general features of COSREEL, gives examples of the way diagnoses are coded and discusses the future potential of such a system for the development of a central data base for epidemiological analysis.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/6836905/