The Academic Community Early Psychosis Intervention Network: Toward building a novel learning health system across six US states

IF 2.6 Q2 HEALTH POLICY & SERVICES
Jenifer L. Vohs, Vinod Srihari, Alexandra H. Vinson, Adrienne Lapidos, John Cahill, Stephan F. Taylor, Stephan Heckers, Ashley Weiss, Serena Chaudhry, Steve Silverstein, Ivy F. Tso, Nicholas J. K. Breitborde, Alan Breier
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引用次数: 0

Abstract

Introduction

Compared to usual care, specialty services for first-episode psychosis (FES) have superior patient outcomes. The Early Psychosis Intervention Network (EPINET), comprised of eight U.S. regional clinical networks, aims to advance the quality of FES care within the ethos of learning healthcare systems (LHS). Among these, the Academic Community (AC) EPINET was established to provide FES care, collect common data elements, leverage informatics, foster a culture of continuous learning and quality improvement, and engage in practice-based research.

Methods

We designed and implemented a novel LHS of university-affiliated FES programs within a hub (academic leadership team) and spoke (FES clinics) model. A series of site implementation meetings engaged stakeholders, setting the stage for a culture that values data collection and shared learning. We built clinical workflows to collect common data elements at enrollment and at consecutive 6-month intervals in parallel to an informatics workflow to deliver outcome visualizations and drive quality improvement efforts.

Results

All six clinical sites successfully implemented data capture workflows and engaged in the process of designing the informatics platform. Upon developing the structure, processes, and initial culture of the LHS, a total of 614 patients enrolled in AC-EPINET, with the most common primary diagnoses of schizophrenia (32.1%) and unspecified psychotic disorders (23.6%). Visualized outcomes were delivered to clinical teams who began to consider locally relevant quality improvement projects.

Conclusions

AC-EPINET is a novel LHS, with a simultaneous focus on science, informatics, incentives, and culture. The work of developing AC-EPINET thus far has highlighted the need for future LHS’ to be mindful of the complexities of data security issues, develop more automated informatic workflows, resource quality assurance efforts, and attend to building the cultural infrastructure with the input of all stakeholders.

Abstract Image

学术界早期精神病干预网络:在美国六个州建立一个新的学习健康系统
导言:与常规护理相比,针对首发精神病(FES)的专科服务对患者的治疗效果更佳。早期精神病干预网络(EPINET)由八个美国地区临床网络组成,旨在学习型医疗保健系统(LHS)的精神下提高首次发病精神病(FES)护理的质量。其中,学术社区(AC)EPINET的成立旨在提供外展治疗护理、收集通用数据元素、利用信息学、培养持续学习和质量改进的文化,并参与基于实践的研究。 方法 我们在一个中心(学术领导小组)和辐条(FES 诊所)模式内,设计并实施了一个新颖的大学附属 FES 项目 LHS。一系列的现场实施会议吸引了利益相关者的参与,为建立重视数据收集和共享学习的文化奠定了基础。我们建立了临床工作流程,以便在入院时和连续 6 个月的间隔期收集通用数据元素,同时建立了信息学工作流程,以提供结果可视化并推动质量改进工作。 结果 所有六个临床研究机构都成功实施了数据采集工作流程,并参与了信息平台的设计过程。在开发了 LHS 的结构、流程和初始文化后,共有 614 名患者加入了 AC-EPINET,其中最常见的主要诊断为精神分裂症(32.1%)和不明原因的精神障碍(23.6%)。临床团队获得了可视化结果,并开始考虑开展与当地相关的质量改进项目。 结论 AC-EPINET 是一种新型的 LHS,同时关注科学、信息学、激励机制和文化。迄今为止,AC-EPINET 的开发工作突出表明,未来的 LHS 需要注意数据安全问题的复杂性,开发更加自动化的信息工作流程,为质量保证工作提供资源,并在所有利益相关者的投入下关注文化基础设施的建设。
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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
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