医院成本报告民主化

Kenneth J. Locey, Brian D. Stein
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引用次数: 0

摘要

医疗保险和医疗补助服务中心(CMS)为数千家获得医疗保险认证的医院提供成本、收费、使用、支付、罚款、工资和一般机构特征的年度报告。然而,除了过时的最终公共使用文件中提供的一小部分功能之外,成本报告数据的大小和复杂性可能使其难以使用。为了获得更广泛的最新见解,医院和研究人员必须要么支付第三方服务费用,要么获得适当的专业知识。为了使成本报告数据的洞察民主化,我们首先开发了一个开源的公共存储库,包含6908个医院特定数据集,每个数据集包含2843个标记特征,涵盖2010年至2023年之间的年份。然后我们开发了一个开源应用程序来分析和下载这些数据。用户可以在本地下载并运行该应用程序,也可以在线访问(https://hcris-app.herokuapp.com/),比较不同医院和不同时间的成本报告功能,探索功能之间的关系,并设计新的成本报告变量。作为从我们的应用程序中获得的见解的例子,我们展示了将拉什大学医学中心与66家伊利诺伊州非政府急性护理医院进行比较的结果。我们期待着根据医疗保健社区的反馈来开发我们的开源资源。
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Democratizing insights into hospital cost reports

The Centers for Medicare and Medicaid Services (CMS) provides annual reports of costs, charges, utilization, payment, penalty, payroll, and general institutional characteristics for thousands of Medicare-certified hospitals. However, beyond the small fraction of features offered in dated finalized public use files, the size and complexity of cost report data can make it difficult to use. To gain a greater breadth of up-to-date insights, hospitals and researchers must either pay for third party services or acquire the appropriate expertise. To democratize insights into cost report data, we first developed an open-source public repository of 6908 hospital-specific dataset, each containing 2843 labeled features and spanning years between 2010 and 2023. We then developed an open-source application for analyzing and downloading these data. Users can download and run the application locally or access it online (https://hcris-app.herokuapp.com/), and compare cost report features among hospitals and across time, explore relationships between features, and design new cost report variables. As examples of insights gained from our application, we present results from comparing Rush University Medical Center to 66 non-governmental acute care Illinois hospitals. We look forward to developing our open-source resources according to feedback from the healthcare community.

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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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