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Clinical Decision Support System for Managing COPD-Related Readmission Risk

机译:临床决策支持系统管理与COPD相关的休息风险

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摘要

Hospital readmission is an important quality-of-care indicator that reflects challenges in quality of in-patient care and the difficulty of coordination of care after the transition back into the community. It can also be a significant financial burden, especially as it relates to Medicare and Medicaid costs now and into the future. In this study, we develop a text-mining-based methodology for providing decision support to identify patients with Chronic Obstructive Pulmonary Disease (COPD), one of the leading causes of disability and mortality worldwide, that are likely to be readmitted. The proposed methodology is tested with real-life data to demonstrate how it can be used to help healthcare providers target high-risk discharged patients to reduce readmission.
机译:医院住院是一项重要的护理质量指标,反映了患者患者质量的挑战以及在过渡到社区后关注的难度。它也可能是一个重要的财务负担,特别是它现在与Medicare和Medicaid成本涉及到未来。在这项研究中,我们开发了一种基于文本挖掘的方法,用于提供决策支持,以识别患有慢性阻塞性肺病(COPD)的患者,这是一个可能被提出的残疾和死亡率的主要原因之一。该提出的方法是用现实生活数据测试的,以证明如何用于帮助医疗保健提供者目标高风险排放患者减少入院。

著录项

  • 来源
    《Information systems frontiers》 |2020年第3期|735-747|共13页
  • 作者单位

    Department of Information Technology & Operations Management College of Business Florida Atlantic University Boca Raton FL 33431 USA;

    Department of Information Technology & Operations Management College of Business Florida Atlantic University Boca Raton FL 33431 USA;

    Department of Information Technology & Operations Management College of Business Florida Atlantic University Boca Raton FL 33431 USA;

    Department of Computer and Electrical Engineering and Computer Science College of Engineering and Computer Science Florida Atlantic University Boca Raton FL 33431 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Clinical decision support systems; Text mining; Chronic obstructive pulmonary disease; Readmission;

    机译:临床决策支持系统;文字挖掘;慢性阻塞性肺疾病;阅览方;
  • 入库时间 2022-08-18 21:05:48

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