在公共卫生领域促进信息学能力和建立学习型卫生系统框架的学术与实践合作模式。

IF 2.6 Q2 HEALTH POLICY & SERVICES
Sripriya Rajamani, Sarah Solarz, Miriam Halstead Muscoplat, Aasa Dahlberg Schmit, Ann Gonderinger, Chris Brueske, Jennifer Fritz, Emily Emerson, Genevieve B. Melton
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引用次数: 0

摘要

背景和目标:数据现代化计划(DMI)是一项耗资数十亿美元的多年计划,旨在建立一个强大的公共卫生信息基础设施。各种 DMI 项目(互操作性、分析、劳动力、管理)为公共卫生领域的学习型卫生系统(LHS)框架提供了机会。本文旨在分享明尼苏达大学(UMN)与明尼苏达州卫生局(MDH)在推进公共卫生信息学(PHI)方面的学术与实践合作模式及其与 LHS 模式的关系:明尼苏达大学与明尼苏达州卫生部的合作于 2018 年开始构想,作为为期 1 年的试点项目,每年通过一个具有 PHI 专业知识的时间/成本共享教职进行续约。合作重点是根据 MDH 的需求和共同利益决定的,核心合作教师(SR)是 MDH 的一名嵌入式研究员。其职责包括支持电子病例报告 (eCR)、互操作性项目,以及协助 MDH 员工进行 PHI 介绍/出版。通过一项国家拨款,合作关系扩展到了 PHI 劳动力发展,现在还包括将 LHS 框架应用于 MDH-DMI 工作的兴趣:MDH-DMI 团队通过 LHS 方法开展了 13 个评估项目:MDH 与医疗保健/地方公共卫生之间的系统互操作性项目(n = 6);MDH 计划的系统现代化(n = 5);信息学人才培养(n = 1);以及计划管理(n = 1)。每个项目都进行了评估和/或制定了当前/未来的评估计划,以总结经验教训,建立反馈循环,实现迭代改进。这种合作关系对双方都有利,因为它达到了两个机构商定的指标。通过在 10 份同行评审的论文集/出版物、22 份本地/全国性会议的演讲稿和 16 份海报中的共同作者身份,该计划的成果得到了展示:目前关于 UMN-MDH 合作伙伴关系的案例报告是支持公共卫生领域切实可行的 LHS 示范的一个相对较新的范例。要在 MDH 和其他公共卫生实体建立 LHS 的势头,需要 LHS 的支持者和持续的学术合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A model of academic-practice collaboration for facilitating informatics capacity and building a learning health system framework in public health

A model of academic-practice collaboration for facilitating informatics capacity and building a learning health system framework in public health

Background and Objective

The data modernization initiative (DMI) is a multi-year, multi-billion-dollar endeavor toward a robust public health information infrastructure. The various DMI projects (interoperability, analytics, workforce, governance) present an opportunity for a learning health system (LHS) framework in public health. The objective is to share an academic-practice partnership model between the University of Minnesota (UMN) and the Minnesota Department of Health (MDH) in advancing public health informatics (PHI) and its relationship to an LHS model.

Methods

The UMN-MDH partnership was conceptualized in 2018 as a 1-year pilot with annual renewals through a time/cost-sharing faculty position with PHI expertise. The partnership focus was decided based on MDH's needs and mutual interests, with the core collaborating faculty (SR) being an embedded researcher at MDH. Responsibilities included supporting electronic case reporting (eCR), interoperability projects, and assisting MDH staff with PHI presentations/publications. The partnership has expanded to PHI workforce development through a national grant and now includes an interest in applying the LHS framework to MDH-DMI work.

Results

The MDH-DMI team has embarked upon 13 projects for assessment through an LHS approach: systems interoperability projects between MDH and healthcare/local public health (n = 6); systems modernization for MDH programs (n = 5); informatics workforce development (n = 1); and program governance (n = 1). Each project has been evaluated and/or has current/future assessment plans to synthesize learnings and create a feedback loop for iterative improvement. The partnership has been mutually beneficial as it met agreed upon metrics across both institutions. The program's productivity is showcased with shared authorship in 10 peer-reviewed proceedings/publications, 22 presentations and 16 posters across local/national conferences.

Conclusion

The current case report of the UMN-MDH partnership is a relatively recent exemplar to support tangible LHS demonstration in public health. Building LHS momentum at MDH and other public health entities will require LHS champion(s) and continued academic collaboration.

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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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