Wagner J E, Burton C H, Morehouse L G, Mann P C
Am J Vet Res. 1979 Mar;40(3):436-42.
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.
发病率和死亡率数据是与动物疾病诊断和研究的公共资金分配相关决策过程的必要依据。本文描述了一个信息存储和检索系统,该系统能够处理诊断数据,如微生物学、寄生虫学、尸检和组织病理学结果,以及人口统计学数据,如动物的主人、物种、性别、品种或地理来源。兽医、流行病学家、牧民和其他参与疾病预防或控制工作的人员可以获取这些信息。所描述的系统使用自然语言,从而克服了带有数字中间环节的系统所遇到的困难。经过过去10年的使用和修订,所描述的系统已被证明对每年所提供服务的行政量化很有用。事实上,一致性指数作为密苏里大学兽医医学诊断实验室的年度报告。拥有关于个体病例的准确详细信息以及各种综合数据,对为特定疾病状态的研究吸引资金所需的文件记录极为有帮助。