The 2016 American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight) Database Characteristics and Methods

The 2016 American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight) Database Characteristics and Methods
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DOI:
10.1016/j.ophtha.2017.12.001
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发表时间:
2018-08-01
期刊:
影响因子:
13.7
通讯作者:
Parke, David W., II
Parke, David W., II
中科院分区:
医学1区
文献类型:
--
作者:
Chiang, Michael F.;Sommer, Alfred;Parke, David W., II

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目的:描述2016年IRIS(R)登记研究中纳入的患者人群的特征(Intelligent Research in Sight)数据库进行分析。设计:临床数据注册的描述。参与者:2016年IRIS注册数据库由来自美国7200名美国眼科医生的17 363 018名独特患者组成。方法:从参与的实践中提取电子健康记录(EHR)数据,并将其放入临床数据库。该方法可用于数十个EHR系统。主要结果指标:人口统计学特征。结果:2016年IRIS注册数据库包括患者人口统计学数据、顶级编码疾病状况和就诊率。结论:IRIS注册是一个独特的、大型的、真实世界的数据集,可用于分析,以提供观点并了解当前的眼科护理和治疗结果。IRIS登记可用于回答有关实践模式,使用,疾病患病率,临床结局和不同治疗方法的比较有效性的问题。数据的局限性与EHR数据在文档错误或数据缺失以及缺乏图像方面的局限性相同。目前,该数据库还没有开放访问,但研究人员有机会提交分析建议,例如通过预防失明研究和美国眼科学会IRIS登记研究奖。(C)2018年美国眼科学会
Purpose: To describe the characteristics of the patient population included in the 2016 IRIS (R) Registry (Intelligent Research in Sight) database for analytic aims.Design: Description of a clinical data registry.Participants: The 2016 IRIS Registry database consists of 17 363 018 unique patients from 7200 United Statesebased ophthalmologists in the United States.Methods: Electronic health record (EHR) data were extracted from the participating practices and placed into a clinical database. The approach can be used across dozens of EHR systems.Main Outcome Measures: Demographic characteristics.Results: The 2016 IRIS Registry database includes data about patient demographics, top-coded disease conditions, and visit rates.Conclusions: The IRIS Registry is a unique, large, real-world data set that is available for analytics to provide perspectives and to learn about current ophthalmic care and treatment outcomes. The IRIS Registry can be used to answer questions about practice patterns, use, disease prevalence, clinical outcomes, and the comparative effectiveness of different treatments. Limitations of the data are the same limitations associated with EHR data in terms of documentation errors or missing data and the lack of images. Currently, open access to the database is not available, but there are opportunities for researchers to submit proposals for analyses, for example through a Research to Prevent Blindness and American Academy of Ophthalmology Award for IRIS Registry Research. (C) 2018 by the American Academy of Ophthalmology