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Integrated health and human services information systems to enhance population-based and person-centered service

机译:集成的卫生和人类服务信息系统,以增强基于人口和以人为本的服务

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摘要

In this issue of the American Journal of Preventive Medicine, Vaithianathan and colleagues1 have made a valuable contribution in demonstrating how administrative data from human services systems can be used to develop a predictive risk model that identifies children at high risk of maltreatment and could support targeting of prevention and early intervention services. They integrated data from the New Zealand public benefit and child protective services systems to develop their risk algorithm. It is particularly relevant to the U.S. now as many state and local governments are using the impetus of national healthcare reform to redesign health and human services information and service delivery systems.As the authors note, predictive risk modeling (PRM) is most advanced in healthcare utilization, and it is an increasingly important tool in a wide range of innovations to improve quality and "bend the cost curve" in the U.S. healthcare system. The integration of data from multiple sources, including all-payer claims databases and electronic health records, is providing the foundation for identifying individuals at high risk, targeting interventions for chronic disease management, reducing hospital admissions and readmissions, improving end-of-life care, and recognizing many other opportunities for improvement. A whole new industry is emerging to capitalize on the analytic promise of "Big Data.In recent years, heightened attention is also being directed to modernizing the information systems that support human services. The National Human Services Interoperability Architecture (NHSIA) initiative sponsored by the Administration for Children and Families (ACF) within the U.S. DHHS and the National Workgroup on Integration (NWI) of the American Public Human Services Association (APHSA) are at the forefront of efforts to improve service delivery and business-process models that bring information technology integration and interoperability to the human services world. The Stewards of Change has facilitated this work by convening technical experts from academia and the private sector; senior federal, state, and local government officials; and front-line practitioners.
机译:在本期《美国预防医学杂志》上,Vaithianathan及其同事1在展示如何利用人类服务系统的管理数据来开发可预测风险模型的过程中做出了宝贵贡献,该模型可识别出遭受虐待的高风险儿童并可以支持针对预防和早期干预服务。他们整合了来自新西兰公共利益和儿童保护服务系统的数据,以开发他们的风险算法。由于许多州和地方政府正在利用国家医疗改革的动力来重新设计卫生和人类服务信息与服务提供系统,因此这对美国尤其重要。正如作者指出的那样,预测风险建模(PRM)在医疗领域是最先进的它是提高医疗质量和“弯折成本曲线”的众多创新中越来越重要的工具。整合来自全额支付者的索赔数据库和电子健康记录等多种来源的数据,为识别高危人群,针对慢性疾病管理的干预措施,减少住院和再入院,改善临终关怀提供了基础,并认识到许多其他改进的机会。利用“大数据”的分析前景,一个新兴的行业正在兴起。近年来,人们也越来越关注使支持人类服务的信息系统现代化。由美国国家科学基金会发起的“国家人类服务互操作性体系结构(NHSIA)”倡议美国DHHS内的儿童和家庭管理局(ACF)和美国公共人类服务协会(APHSA)的国家整合工作组(NWI)处于改进信息传递和提供信息技术的业务流程模型的最前沿变革的管理者通过召集来自学术界和私营部门的技术专家,高级联邦,州和地方政府官员以及一线从业人员来促进这项工作。

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