U.S. Department of Veterans Affairs, Veterans Health Administration, Patient Care Services, Public Health Program Office, Washington, DC, Palo Alto, CA, USA.
Division of Infectious Diseases & Geographic Medicine, Stanford University, Stanford, CA, USA.
BMC Public Health. 2022 Feb 10;22(1):272. doi: 10.1186/s12889-022-12578-2.
Early threat detection and situational awareness are vital to achieving a comprehensive and accurate view of health-related events for federal, state, and local health agencies. Key to this are public health and syndromic surveillance systems that can analyze large data sets to discover patterns, trends, and correlations of public health significance. In 2020, Department of Veterans Affairs (VA) evaluated its public health surveillance system and identified areas for improvement.
Using the Centers for Disease Control and Prevention (CDC) Guidelines for Evaluating Public Health Surveillance Systems, we assessed the ability of the Praedico Surveillance System to perform public health surveillance for a variety of health issues and evaluated its performance compared to an enterprise data solution (VA Corporate Data Warehouse), legacy surveillance system (VA ESSENCE) and a national, collaborative syndromic surveillance platform (CDC NSSP BioSense).
Review of system attributes found that the system was simple, flexible, and stable. Representativeness, timeliness, sensitivity, and Predictive Value Positive were acceptable but could be further improved. Data quality issues and acceptability present challenges that potentially affect the overall usefulness of the system.
Praedico is a customizable surveillance and data analytics platform built on big data technologies. Functionality is straightforward, with rapid query generation and runtimes. Data can be graphed, mapped, analyzed, and shared with key decision makers and stakeholders. Evaluation findings suggest that future development and system enhancements should focus on addressing Praedico data quality issues and improving user acceptability. Because Praedico is designed to handle big data queries and work with data from a variety of sources, it could be enlisted as a tool for interdepartmental and interagency collaboration and public health data sharing. We suggest that future system evaluations include measurements of value and effectiveness along with additional organizations and functional assessments.
早期的威胁检测和态势感知对于联邦、州和地方卫生机构全面准确地了解与健康相关的事件至关重要。这方面的关键是公共卫生和综合征监测系统，这些系统可以分析大量数据集，以发现具有公共卫生意义的模式、趋势和相关性。2020 年，美国退伍军人事务部（VA）评估了其公共卫生监测系统，并确定了需要改进的领域。
我们使用疾病预防控制中心（CDC）公共卫生监测系统评估指南，评估了 Praedico 监测系统对各种健康问题进行公共卫生监测的能力，并将其性能与企业数据解决方案（VA 企业数据仓库）、传统监测系统（VA ESSENCE）和国家合作综合征监测平台（CDC NSSP BioSense）进行了比较。
系统属性的审查发现，该系统简单、灵活且稳定。代表性、及时性、敏感性和阳性预测值是可以接受的，但可以进一步改进。数据质量问题和可接受性带来了挑战，可能会影响系统的整体有用性。
Praedico 是一个基于大数据技术的可定制的监测和数据分析平台。功能简单直接，具有快速查询生成和运行时间。可以对数据进行图形化、映射、分析，并与关键决策者和利益相关者共享。评估结果表明，未来的开发和系统增强应集中解决 Praedico 的数据质量问题并提高用户的可接受性。由于 Praedico 旨在处理大数据查询并与来自各种来源的数据一起工作，因此它可以被征为部门间和机构间合作以及公共卫生数据共享的工具。我们建议未来的系统评估包括价值和有效性的衡量以及对其他组织和功能的评估。
