Hospital Health Information Exchange Network Density and Predictors Across U.S. Hospital Referral Regions.

IF 2.1 2区 医学 Q4 MEDICAL INFORMATICS
Sunny C Lin, Karen Joynt Maddox, Daphne Lew, Julia Adler-Milstein, Thomas Kannampallil
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Abstract

Objective To develop a measure of Health Information Exchange (HIE) for characterizing the density of inter-hospital HIE connections and identify regional characteristics associated with HIE network density Materials and Methods HIE network density was measured as the proportion of hospital pairs within a region that are connected through HIE. The 2022 American Hospital Association's Information Technology Supplement survey was used to calculate HIE network density for US hospital referral regions (HRRs). Bivariate tests and multivariable regression were used to characterize hospital, electronic health record (EHR) vendor, and resident characteristics associated with HIE network density. Results Data on 2,509 hospitals across 274 HRRs were included in the study, with 92% of hospitals participating in at least 1 HIE. On average, hospitals participated in two HIEs and there were 7 HIEs present in each region. HIE network density ranged from 0.0 to 1.0, with a median of 0.78 and an interquartile range of 0.51 to 1.00. Hospital and vendor characteristics associated with greater HIE network density include: more HIEs per hospital, a higher proportion of non-profit hospitals, greater Epic marketshare, and more concentrated hospital and EHR vendor markets. Resident characteristics associated with greater HIE network density include: higher home values, more educated residents, and higher median household incomes. Conclusion We found that, on average, 7 out of 10 hospital-pairs within a given hospital referral regions are connected via at least one HIE, with lower HIE network density in regions with lower socioeconomic status. This measure can be used to track the impact of the Trusted Exchange Framework and Common Agreement on area-level interoperability.

美国医院转诊地区的医院健康信息交换网络密度和预测因子。
目的建立一种表征医院间卫生信息交换(HIE)连接密度的测量方法,并确定与HIE网络密度相关的区域特征。材料和方法将卫生信息交换网络密度测量为区域内通过HIE连接的医院对的比例。2022年美国医院协会的信息技术补充调查被用来计算美国医院转诊地区(HRRs)的HIE网络密度。采用双变量检验和多变量回归来表征与HIE网络密度相关的医院、电子健康记录(EHR)供应商和居民特征。结果研究纳入了274个hr的2509家医院的数据,其中92%的医院参与了至少1次HIE。医院平均参加2次卫生保健调查,每个地区共有7次卫生保健调查。HIE网络密度范围为0.0 ~ 1.0,中位数为0.78,四分位数间距为0.51 ~ 1.00。与更高的HIE网络密度相关的医院和供应商特征包括:每家医院更多的HIE,更高比例的非营利性医院,更大的Epic市场份额,以及更集中的医院和EHR供应商市场。与更高HIE网络密度相关的居民特征包括:更高的房屋价值,更多受教育的居民和更高的家庭收入中位数。我们发现,在给定的医院转诊区域内,平均每10对医院中就有7对通过至少一个HIE连接起来,在社会经济地位较低的地区,HIE网络密度较低。此度量可用于跟踪可信交换框架和公共协议对区域级互操作性的影响。
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来源期刊
Applied Clinical Informatics
Applied Clinical Informatics MEDICAL INFORMATICS-
CiteScore
4.60
自引率
24.10%
发文量
132
期刊介绍: ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.
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