{"title":"Health Care Worker Usage of Large-Scale Health Information Exchanges in Japan: User-Level Audit Log Analysis Study.","authors":"Jun Suzumoto, Yukiko Mori, Tomohiro Kuroda","doi":"10.2196/56263","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Over 200 health information exchanges (HIEs) are currently operational in Japan. The most common feature of HIEs is remote on-demand viewing or searching of aggregated patient health data from multiple institutions. However, the usage of this feature by individual users and institutions remains unknown.</p><p><strong>Objective: </strong>This study aims to understand usage of the on-demand patient data viewing feature of large-scale HIEs by individual health care workers and institutions in Japan.</p><p><strong>Methods: </strong>We conducted audit log analyses of large-scale HIEs. The research subjects were HIEs connected to over 100 institutions and with over 10,000 patients. Each health care worker's profile and audit log data for HIEs were collected. We conducted four types of analyses on the extracted audit log. First, we calculated the ratio of the number of days of active HIE use for each hospital-affiliated doctor account. Second, we calculated cumulative monthly usage days of HIEs by each institution in financial year (FY) 2021/22. Third, we calculated each facility type's monthly active institution ratio in FY2021/22. Fourth, we compared the monthly active institution ratio by medical institution for each HIE and the proportion of cumulative usage days by user type for each HIE.</p><p><strong>Results: </strong>We identified 24 HIEs as candidates for data collection and we analyzed data from 7 HIEs. Among hospital doctors, 93.5% (7326/7833) had never used HIEs during the available period in FY2021/22, while 19 doctors used them at least 30% of days. The median (IQR) monthly active institution ratios were 0.482 (0.470-0.487) for hospitals, 0.243 (0.230-0.247) for medical clinics, and 0.030 (0.024-0.048) for dental clinics. In 51.9% (1781/3434) of hospitals, the cumulative monthly usage days of HIEs was 0, while in 26.8% (921/3434) of hospitals, it was between 1 and 10, and in 3% (103/3434) of hospitals, it was 100 or more. The median (IQR) monthly active institution ratio in medical institutions was 0.511 (0.487-0.529) for the most used HIE and 0.109 (0.0927-0.117) for the least used. The proportion of cumulative usage days of HIE by user type was complex for each HIE, and no consistent trends could be discerned.</p><p><strong>Conclusions: </strong>In the large-scale HIEs surveyed in this study, the overall usage of the on-demand patient data viewing feature was low, consistent with past official reports. User-level analyses of audit logs revealed large disparities in the number of days of HIE use among health care workers and institutions. There were also large disparities in HIE use by facility type or HIE; the percentage of cumulative HIE usage days by user type also differed by HIE. This study indicates the need for further research into why there are large disparities in demand for HIEs in Japan as well as the need to design comprehensive audit logs that can be matched with other official datasets.</p>","PeriodicalId":56334,"journal":{"name":"JMIR Medical Informatics","volume":"12 ","pages":"e56263"},"PeriodicalIF":3.1000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11481819/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/56263","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Over 200 health information exchanges (HIEs) are currently operational in Japan. The most common feature of HIEs is remote on-demand viewing or searching of aggregated patient health data from multiple institutions. However, the usage of this feature by individual users and institutions remains unknown.
Objective: This study aims to understand usage of the on-demand patient data viewing feature of large-scale HIEs by individual health care workers and institutions in Japan.
Methods: We conducted audit log analyses of large-scale HIEs. The research subjects were HIEs connected to over 100 institutions and with over 10,000 patients. Each health care worker's profile and audit log data for HIEs were collected. We conducted four types of analyses on the extracted audit log. First, we calculated the ratio of the number of days of active HIE use for each hospital-affiliated doctor account. Second, we calculated cumulative monthly usage days of HIEs by each institution in financial year (FY) 2021/22. Third, we calculated each facility type's monthly active institution ratio in FY2021/22. Fourth, we compared the monthly active institution ratio by medical institution for each HIE and the proportion of cumulative usage days by user type for each HIE.
Results: We identified 24 HIEs as candidates for data collection and we analyzed data from 7 HIEs. Among hospital doctors, 93.5% (7326/7833) had never used HIEs during the available period in FY2021/22, while 19 doctors used them at least 30% of days. The median (IQR) monthly active institution ratios were 0.482 (0.470-0.487) for hospitals, 0.243 (0.230-0.247) for medical clinics, and 0.030 (0.024-0.048) for dental clinics. In 51.9% (1781/3434) of hospitals, the cumulative monthly usage days of HIEs was 0, while in 26.8% (921/3434) of hospitals, it was between 1 and 10, and in 3% (103/3434) of hospitals, it was 100 or more. The median (IQR) monthly active institution ratio in medical institutions was 0.511 (0.487-0.529) for the most used HIE and 0.109 (0.0927-0.117) for the least used. The proportion of cumulative usage days of HIE by user type was complex for each HIE, and no consistent trends could be discerned.
Conclusions: In the large-scale HIEs surveyed in this study, the overall usage of the on-demand patient data viewing feature was low, consistent with past official reports. User-level analyses of audit logs revealed large disparities in the number of days of HIE use among health care workers and institutions. There were also large disparities in HIE use by facility type or HIE; the percentage of cumulative HIE usage days by user type also differed by HIE. This study indicates the need for further research into why there are large disparities in demand for HIEs in Japan as well as the need to design comprehensive audit logs that can be matched with other official datasets.
背景:日本目前有 200 多个健康信息交换系统(HIE)在运行。HIE 最常见的功能是远程按需查看或搜索来自多个机构的汇总病人健康数据。然而,个人用户和医疗机构对这一功能的使用情况仍不得而知:本研究旨在了解日本医护人员个人和机构对大型 HIE 的按需查看患者数据功能的使用情况:我们对大型 HIE 进行了审计日志分析。研究对象是与 100 多家机构连接、拥有 10,000 多名患者的 HIE。我们收集了每位医护人员的个人资料和 HIE 的审计日志数据。我们对提取的审计日志进行了四种分析。首先,我们计算了每个医院附属医生账户的 HIE 有效使用天数比率。其次,我们计算了 2021/22 财政年度(FY)各机构每月使用 HIE 的累计天数。第三,我们计算了 2021/22 财政年度各设施类型的每月活跃机构比率。第四,我们比较了各医疗机构在每个医疗信息基础设施中的每月活跃机构比率和各医疗信息基础设施中按用户类型划分的累计使用天数比例:我们确定了 24 个 HIE 作为数据收集的候选机构,并对 7 个 HIE 的数据进行了分析。在医院医生中,93.5%(7326/7833)的医生在 2021/22 财政年度的可用期间从未使用过 HIE,而 19 名医生至少有 30% 的天数使用过 HIE。医院每月活跃机构比率的中位数(IQR)为 0.482(0.470-0.487),医疗诊所为 0.243(0.230-0.247),牙科诊所为 0.030(0.024-0.048)。51.9%(1781/3434)的医院每月使用HIE的累计天数为0,26.8%(921/3434)的医院为1至10天,3%(103/3434)的医院为100天或以上。在医疗机构中,使用最多的 HIE 每月活跃机构比例的中位数(IQR)为 0.511(0.487-0.529),使用最少的为 0.109(0.0927-0.117)。按用户类型划分的 HIE 累计使用天数比例在每个 HIE 中都很复杂,无法发现一致的趋势:在本研究调查的大型 HIE 中,按需查看病人数据功能的总体使用率较低,这与过去的官方报告一致。对审计日志进行的用户层面分析表明,医护人员和医疗机构在使用 HIE 的天数上存在巨大差异。不同机构类型或 HIE 在使用 HIE 方面也存在巨大差异;不同 HIE 的用户类型在累计 HIE 使用天数中所占的百分比也不尽相同。这项研究表明,有必要进一步研究日本对 HIE 的需求存在巨大差异的原因,以及设计可与其他官方数据集进行匹配的全面审计日志的必要性。
期刊介绍:
JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals.
Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.