Peer-reviewed veterinary case report
A computerized system for retrieval of case information in a veterinary diagnostic laboratory.
- Journal:
- American journal of veterinary research
- Year:
- 1979
- Authors:
- Wagner, J E et al.
Plain-English summary
A new computerized system has been developed to help veterinarians and researchers easily access important information about animal diseases. This system stores and retrieves data on various diagnostic tests, like those for infections or parasites, as well as details about the animals, such as their species, breed, and where they come from. It's designed to be user-friendly, allowing people to search using everyday language instead of complicated numbers. Over the past ten years, this system has been very effective in helping the University of Missouri Veterinary Medical Diagnostic Laboratory keep track of their services and gather funding for research on specific diseases. Overall, the system has proven to be a valuable tool for improving animal health and disease prevention efforts.
Abstract
Morbidity and mortality data are necessary bases for the decision-making processes relevant to allocation of public funds for animal disease diagnoses and research. A system for information storage and retrieval capable of handling diagnostic data such as results of microbiology, parasitology, necropsy, and histopathology as well as demographic data such as owner, species, sex, breed, or geographic origin of the animal is described. This information is available to veterinarians, epidemiologists, herdsmen, and others involved in disease prevention or control efforts. The system described utilizes natural language, thus overcoming difficulties encountered in systems with numerical intermediates. Used and revised for the last 10 years, the system described has proved useful for annual administrative quantitation of services performed. In fact, the Concordance Index serves as the annual report of the University of Missouri Veterinary Medical Diagnostic Laboratory. Having accurate detailed information on individual cases, as well as a variety of composite data, has been extremely helpful in the documentation necessary for attracting funding for study of specific disease states.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/475103/