2019冠状病毒病疫情区域“活”登记的价值以及维持该登记的挑战

John Hanna, Tara Chen, Carlos Portales-Castillo, Mina Said, Rene Bulnes, Donna Newhart, Lucas Sienk, Katherine Schantz, Kathleen Rozzi, Karan Alag, Jonathan Bress, Emil Lesho DO
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引用次数: 0

摘要

背景:获得准确、可靠和及时的临床数据对临床医生、研究人员和政策制定者至关重要,以便他们能够有效地应对新出现的公共卫生威胁。最近的SARS-CoV-2大流行以及与2019年新型冠状病毒病(COVID-19)相关的关键知识和数据缺口就是典型的例子。我们试图创建一个适应性的、活的数据集市,其中包含我们医疗系统中COVID-19患者的详细临床、流行病学和结果数据。如果成功,这种方法就可以用于未来的任何爆发或疾病。方法:从2020年3月13日起,从SARS-CoV-2阳性患者的电子病历(EMR)中手动提取人口统计学、合并症、门诊药物以及75个实验室、2个影像学、19个治疗和4个结局相关参数。这些参数输入到具有计算、绘图工具、数据透视表和宏编程语言的注册表中。最初,由两名内科医生填充数据库,然后由专业的数据抽象人员填充注册表。临床参数是根据传染病和重症监护医生的意见制定的,并使用了美国疾病控制和预防中心(CDC)修改的COVID-19工作表。注册表内容被迁移到基于浏览器、元数据驱动的电子数据捕获软件平台。最终,我们开发了查询并使用了各种商业智能(BI)工具,这些工具使我们能够通过基于美国医院的大型服务级别全付款人数据库,从EMR中半自动地获取147个临床和结果参数。在R和Minitab中进行统计。结果:从2020年3月13日至2021年5月17日,在基于云的BI平台上存储了236144例不同类型患者的549,691例SARS-CoV-2检测结果,以及地点、入院状态等流行病学详细信息。从2020年3月至2021年5月,临床流行病学参数的提取必须手动进行。其中,543个已在注册表中完整地输入了>/=75个参数。10项临床特征与住院需求显著相关。只有一个特征与ICU住院的需要相关。补充氧气、血管加压药物和门诊他汀类药物的使用与死亡率增加有关。最初,每个患者图表需要0.5 -1.5小时(大约450-575人小时)手动提取参数并填充注册表。截至2021年5月17日,采用用户定义查询,实现了来自美国医院所有付款人数据库的半自动数据摄取。该过程可以以每100例患者图表2小时的速度摄取和填充147个临床、流行病学和结果参数的注册表。结论:2019冠状病毒病疫情活体登记是一种机制,可通过技术支持、可安全访问的电子卫生信息,促进提供者、消费者、卫生信息网络和卫生计划之间的数据优化共享。我们的方法还涉及该领域的各种新角色,例如除了使用专业数据提取器和卫生信息学团队外,还使用住院医生、工作人员和质量部门。最初,由于大量感染持续加速,以及项目的劳动/时间紧张性质,只有一小部分COVID-19患者在注册表中输入了所有参数。因此,如果其他国家希望建立登记处,本报告也提供了经验教训,并讨论了可持续性问题。它还强调了该登记处在当地和更广泛的公共卫生方面的重要性。从2021年6月开始,全基因组测序结果(如含有重要病毒突变的谱系或值得关注的变体)将与临床元数据相关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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THE VALUE OF A REGIONAL 'LIVING' COVID-19 REGISTRY AND THE CHALLENGES OF KEEPING IT ALIVE.

Background: The availability of accurate, reliable, and timely clinical data is crucial for clinicians, researchers, and policymakers so that they can respond effectively to emerging public health threats. This was typified by the recent SARS-CoV-2 pandemic and the critical knowledge and data gaps associated with novel Coronavirus 2019 disease (COVID-19).We sought to create an adaptive, living data mart containing detailed clinical, epidemiologic, and outcome data from COVID-19 patients in our healthcare system. If successful, the approach could then be used for any future outbreak or disease.

Methods: From 3/13/2020 onward, demographics, comorbidities, outpatient medications, along with 75 laboratory, 2 imaging, 19 therapeutic, and 4 outcome-related parameters, were manually extracted from the electronic medical record (EMR) of SARS-CoV-2 positive patients. These parameters were entered on a registry featuring calculation, graphing tools, pivot tables, and a macro programming language. Initially, two internal medicine residents populated the database, then professional data abstractors populated the registry. Clinical parameters were developed with input from infectious diseases and critical care physicians and using a modified COVID-19 worksheet from the U.S. Centers for Disease Control and Prevention (CDC). Registry contents were migrated to a browser-based, metadata-driven electronic data capture software platform. Eventually, we developed queries and used various business intelligence (BI) tools which enabled us to semi-automate data ingestion of 147 clinical and outcome parameters from the EMR, via a large U.S. hospital-based, service-level, all-payer database. Statistics were performed in R and Minitab.

Results: From March 13, 2020 to May 17, 2021, 549,691 SARS-CoV-2 test results on 236,144 distinct patients, along with location, admission status, and other epidemiologic details are stored on the cloud-based BI platform. From March 2020 until May 2021, extraction of clinical-epidemiologic parameter had to be performed manually. Of those, 543 have had >/=75 parameters fully entered in the registry. Ten clinical characteristics were significantly associated with the need for hospital admission. Only one characteristic was associated with a need for ICU admission. Use of supplemental oxygen, vasopressors and outpatient statin were associated with increased mortality.Initially, 0.5hrs -1.5 hours per patient chart (approximately 450-575 person hours) were required to manually extract the parameters and populate the registry. As of May 17, 2021, semi-automated data ingestion from the U.S. hospital all-payer database, employing user-defined queries, was implemented. That process can ingest and populate the registry with 147 clinical, epidemiologic, and outcome parameters at a rate of 2 hours per 100 patient charts.

Conclusion: A living COVID-19 registry represents a mechanism to facilitate optimal sharing of data between providers, consumers, health information networks, and health plans through technology-enabled, secure-access electronic health information. Our approach also involves a diversity of new roles in the field, such as using residents, staff, and the quality department, in addition to professional data extractors and the health informatics team.Initially, due to the overwhelming number of infections that continues to accelerate, and the labor/time intense nature of the project, only a small fraction of all patients with COVID-19 had all parameters entered in the registry. Therefore, this report also offers lessons learned and discusses sustainability issues, should others wish to establish a registry. It also highlights the registry's local and broader public health significance. Beginning in June 2021, whole-genome sequencing results such as lineages harboring important viral mutations, or variants of concern will be linked to the clinical meta-data.

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来源期刊
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期刊介绍: Perspectives in Health Information Management is a scholarly, peer-reviewed research journal whose mission is to advance health information management practice and to encourage interdisciplinary collaboration between HIM professionals and others in disciplines supporting the advancement of the management of health information. The primary focus is to promote the linkage of practice, education, and research and to provide contributions to the understanding or improvement of health information management processes and outcomes.
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