医院结构特征与采用公共卫生数据整合和自动化之间的关联:国家跨部门证明研究
Hanadi Hamadi1, Alaysia Alford1, Chloe Smith Lopez1
1Department of Health Administration, University of North Florida, 1 UNF Drive, Jacksonville, FL, 32224, United States, 1 9046205314.
Online journal of public health informatics
|February 6, 2026
概括
医院的特点,如系统附属和位置,显著影响公共卫生数据的整合和自动化. 需要有针对性的干预措施,以改善小型和农村医院的采用,以获得公平的报告.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生监督 公共卫生监督
- 卫生信息技术 信息技术
背景情况:
- 有效的医疗保健和公共卫生监测依赖于公共卫生数据集成和自动化系统.
- 影响医院采用和实施这些系统的因素尚不清楚.
研究的目的:
- 调查医院特征如何影响采用公共卫生数据集成和自动化.
- 确定与成功实施公共卫生报告系统相关的关键医院属性.
主要方法:
- 分析了2277家医院,使用2023年美国医院协会年度调查及其健康信息技术补充.
- 专注于6个公共卫生报告类别和多变量后勤回归来评估医院特征与电子数据提交/自动化流程之间的关联.
主要成果:
- 系统附属和非营利性医院显示,电子数据提交和自动报告的采用率更高.
- 农村医院对免疫,公共卫生和临床数据注册表的采用率较低.
- 较大的医院和教学医院在特定报告类别 (如综合征监测和临床数据注册表) 的参与度增加.
结论:
- 医院系统的附属性,所有权和位置是公共卫生数据集成和自动化能力的关键因素.
- 采用的差异存在,需要针对较小和农村设施进行有针对性的干预,以确保公平的公共卫生报告基础设施.
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