Research Center of Excellence in Public Informatics

我们建议建立公共卫生信息学、决策支持、评估、分析和监测 （IDEAS）中心。其主题将是系统调整和数据集成，以支持公共卫生 准备、评估、监督、分析、决策和反应的职能。中心 将被安置在犹他州大学的医学信息学系，这是四个 国家医学图书馆（NLM）/罗伯特·伍德约翰逊（RWJ）公共卫生信息学培训计划 绝佳的价钱它将汇集学术界、州和地方卫生部门， 系统，成功的社区卫生信息网络（CHIN）和发展区域卫生 信息组织（RHIO）以及无数的地方、地区和国家公共卫生和临床数据 资源该中心将把对公共卫生信息学最先进研究的追求与 研究人员、公共卫生领导人和从业人员、医院和诊所卫生保健提供者的网络， 计算机科学家，医疗保健和社区领导人。 公共卫生IDEAS中心的研究目标是解决公共卫生，临床和医学领域的关键问题。 护理和公共卫生信息学。我们将开发和评估提高数据准确性的方法 通过概率匹配将来自多个数据源和位置的患者记录链接起来。的 协调公共卫生和医疗保健系统对患者安全威胁的反应将是一项挑战， 研究了公共卫生的报告和监测职能将与教育和质量相匹配 改进活动，使用基于关联患者数据的监测和分析工具。我们将 实施信息技术，支持提供者和公共卫生之间的沟通 人员，增强决策能力，提高调查数据检索效率 传染病和其他公共卫生相关事件。最后，我们将开发和应用先进的 建模，模拟和地理信息系统，以更好地为公共卫生政策和决策提供信息， 不仅适用于高不确定性和高风险的情况，而且还可以改善对更熟悉的 感染.我们的主要目标是产生对公共卫生具有广泛推广意义的研究结果 及其在地方、州和国家各级的医疗保健合作伙伴。

We propose to create the Public Health Informatics, Decision-support, Evaluation, Analysis, and Surveillance (IDEAS) Center. Its theme will be system alignment and data integration to support the public health functions of preparedness, evaluation, surveillance, analysis, decision-making, and response. The Center will be housed in the Department of Medical Informatics at the University of Utah, which is one of four National Library of Medicine (NLM)/Robert Wood Johnson (RWJ) Public Health Informatics training program site. It will bring together academia, state and local health departments, integrated health care delivery systems, a successful Community Health Information Network (CHIN) and developing Regional Health Information Organization (RHIO), and myriad local, regional, and national public health and clinical data resources. The Center will unite the pursuit of state of the art research into public health informatics with a network of investigators, public health leaders and practitioners, hospital and clinic health care providers, computer scientists, and healthcare and community leaders. The research aims of the Public Health IDEAS Center address key problems in public health, clinical care, and public health informatics. We will develop and evaluate methods to improve accuracy of data linkage of patient records from multiple data sources and locations through probabilistic matching. The challenge of coordinating public health and health care system responses to threats to patient safety will be investigated. Reporting and monitoring functions of public health will be matched with education and quality improvement activities, using surveillance and analytic tools that are based on linked patient data. We will implement information technologies that support communication between providers and public health personnel, enhance decision-making capacity, and improve the efficiency of retrieval of data for investigation of infectious disease and other public health related events. Finally, we will develop and apply advanced modeling, simulation, and geographic information systems to better inform public health policy- and decisionmaking, not just for situations of high uncertainty and high risk, but also to improve control of more familiar infections. Our driving goal is to generate research findings that are widely generalizable for public health and its health care partners at the local, state, and national levels.