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Updated: Jun 9, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

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使用共发病性检测算法软件进行回顾性分析,以确定国际疾病分类 (ICD) 代码遗漏的发生率和诊断相关组 (DRG) 代码修改器的适当性

Eilon Gabel1, Jonathan Gal2, Tristan Grogan3

  • 1University of California at Los Angeles David Geffen School of Medicine, Los Angeles, CA, USA. egabel@mednet.ucla.edu.

BMC medical informatics and decision making
|October 24, 2024
PubMed
概括

自动化算法在国际疾病分类 (ICD) 编码中发现了重大遗漏,导致了不准确的诊断相关组 (DRG) 分配和大量收入损失. 通过技术提高ICD代码的准确性可以提高财务结果.

关键词:
算法算法是一种算法.临床编码 临床编码与诊断相关的群体与诊断相关的群体.疾病的国际分类.医疗信息学应用程序

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