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Visualization and application of disease diagnosis codes for population health management using porcine diseases as a model
The Journal of Veterinary Diagnostic Investigation ( IF 1.2 ) Pub Date : 2021-03-10 , DOI: 10.1177/1040638721995782
Giovani Trevisan 1 , Kent J Schwartz 1 , Eric R Burrough 1 , Bailey Arruda 1 , Rachel J Derscheid 1 , Michael C Rahe 1 , Edison de Souza Magalhães 1 , Marcelo N Almeida 1 , Rodger G Main 1 , Daniel C L Linhares 1
Affiliation  

Accurate and timely results of diagnostic investigations and laboratory testing guide clinical interventions for the continuous improvement of animal health and welfare. Infectious diseases can severely limit the health, welfare, and productivity of populations of animals. Livestock veterinarians submit thousands of samples daily to veterinary diagnostic laboratories (VDLs) for disease diagnosis, pathogen monitoring, and surveillance. Individual diagnostic laboratory reports are immediately useful; however, aggregated historical laboratory data are increasingly valued by clinicians and decision-makers to identify changes in the health status of various animal populations over time and geographical space. The value of this historical information is enhanced by visualization of trends of agent detection, disease diagnosis, or both, which helps focus time and resources on the most significant pathogens and fosters more effective communication between livestock producers, veterinarians, and VDL professionals. Advances in data visualization tools allow quick, efficient, and often real-time scanning and analysis of databases to inform, guide, and modify animal health intervention algorithms. Value is derived at the farm, production system, or regional level. Visualization tools allow client-specific analyses, benchmarking, formulation of research questions, and monitoring the effects of disease management and precision farming practices. We present here the approach taken to visualize trends of disease occurrence using porcine disease diagnostic code data for the period 2010 to 2019. Our semi-automatic standardized creation of a visualization platform allowed the transformation of diagnostic report data into aggregated information to visualize and monitor disease diagnosis.



中文翻译:


以猪病为模型的疾病诊断码在人群健康管理中的可视化与应用



准确及时的诊断调查和实验室检测结果可指导临床干预措施,以持续改善动物健康和福利。传染病会严重限制动物种群的健康、福利和生产力。牲畜兽医每天向兽医诊断实验室 (VDL) 提交数千份样本,用于疾病诊断、病原体监测和监测。个人诊断实验室报告立即有用;然而,临床医生和决策者越来越重视汇总的历史实验室数据,以确定不同动物种群健康状况随时间和地理空间的变化。通过代理检测、疾病诊断或两者的趋势可视化,可以增强这些历史信息的价值,这有助于将时间和资源集中在最重要的病原体上,并促进畜牧生产者、兽医和 VDL 专业人员之间更有效的沟通。数据可视化工具的进步可以快速、高效且实时地扫描和分析数据库,以告知、指导和修改动物健康干预算法。价值源自农场、生产系统或区域层面。可视化工具允许针对客户进行分析、基准测试、研究问题的制定以及监测疾病管理和精准农业实践的效果。我们在此介绍使用 2010 年至 2019 年期间猪疾病诊断代码数据可视化疾病发生趋势的方法。我们半自动标准化创建可视化平台,可以将诊断报告数据转换为聚合信息,以可视化和监测疾病诊断。

更新日期:2021-03-10
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