PDF(Pubmed)
Abstract：
UNASSIGNED: To accelerate healthcare transformation and advance health equity, scientists in learning health systems (LHSs) require ready access to integrated, comprehensive data that includes information on social determinants of health (SDOH).
UNASSIGNED: We describe how an integrated delivery and finance system leveraged its learning ecosystem to advance health equity through (a) a cross-sector initiative to integrate healthcare and human services data for better meeting clients\' holistic needs and (b) a system-level initiative to collect and use patient-reported SDOH data for connecting patients to needed resources.
UNASSIGNED: Through these initiatives, we strengthened our health system\'s capacity to meet diverse patient needs, address health disparities, and improve health outcomes. By sharing and integrating healthcare and human services data, we identified 281 000 Shared Services Clients and enhanced care management for 100 adult Medicaid/Special Needs Plan members. Over a 1-year period, we screened 9173 (37%) patients across UPMC\'s Women\'s Health Services Line and connected over 700 individuals to social services and supports.
UNASSIGNED: Opportunities exist for LHSs to improve, expand, and sustain their innovative data practices. As learnings continue to emerge, LHSs will be well positioned to accelerate healthcare transformation and advance health equity.
UNASSIGNED: We describe how an integrated delivery and finance system leveraged its learning ecosystem to advance health equity through (a) a cross-sector initiative to integrate healthcare and human services data for better meeting clients\' holistic needs and (b) a system-level initiative to collect and use patient-reported SDOH data for connecting patients to needed resources.
UNASSIGNED: Through these initiatives, we strengthened our health system\'s capacity to meet diverse patient needs, address health disparities, and improve health outcomes. By sharing and integrating healthcare and human services data, we identified 281 000 Shared Services Clients and enhanced care management for 100 adult Medicaid/Special Needs Plan members. Over a 1-year period, we screened 9173 (37%) patients across UPMC\'s Women\'s Health Services Line and connected over 700 individuals to social services and supports.
UNASSIGNED: Opportunities exist for LHSs to improve, expand, and sustain their innovative data practices. As learnings continue to emerge, LHSs will be well positioned to accelerate healthcare transformation and advance health equity.
摘要：
■为了加速医疗转型和促进卫生公平，学习卫生系统(LHS)的科学家需要现成的集成，全面的数据，包括关于健康的社会决定因素(SDOH)的信息。
■我们描述了集成的交付和财务系统如何利用其学习生态系统来促进健康公平，方法是：（a）一项跨部门计划，以整合医疗保健和人类服务数据，以更好地满足客户的整体需求；（b）一项系统级计划，以收集和使用患者报告的SDOH数据，将患者与所需资源联系起来。
■通过这些举措，我们加强了卫生系统满足不同患者需求的能力，解决健康差距，改善健康结果。通过共享和集成医疗保健和人类服务数据，我们为100名成年Medicaid/特殊需求计划成员确定了281000名共享服务客户并加强了护理管理。在一年的时间里，我们在UPMC的妇女健康服务线上筛查了9173名（37%）患者，并将700多人与社会服务和支持联系起来。
■LHS存在改进的机会，展开,并维持他们的创新数据实践。随着学习的不断出现，LHS将处于加速医疗保健转型和促进健康公平的有利位置。
■我们描述了集成的交付和财务系统如何利用其学习生态系统来促进健康公平，方法是：（a）一项跨部门计划，以整合医疗保健和人类服务数据，以更好地满足客户的整体需求；（b）一项系统级计划，以收集和使用患者报告的SDOH数据，将患者与所需资源联系起来。
■通过这些举措，我们加强了卫生系统满足不同患者需求的能力，解决健康差距，改善健康结果。通过共享和集成医疗保健和人类服务数据，我们为100名成年Medicaid/特殊需求计划成员确定了281000名共享服务客户并加强了护理管理。在一年的时间里，我们在UPMC的妇女健康服务线上筛查了9173名（37%）患者，并将700多人与社会服务和支持联系起来。
■LHS存在改进的机会，展开,并维持他们的创新数据实践。随着学习的不断出现，LHS将处于加速医疗保健转型和促进健康公平的有利位置。
