使用处方药物数据的自动icd-10编码。

Q3 Medicine Perspectives in health information management / AHIMA, American Health Information Management Association Pub Date : 2021-07-01 eCollection Date: 2021-01-01

Alexander Dokumentov, Yassien Shaalan, Piyapong Khumrin, Krit Khwanngern, Anawat Wisetborisut, Thanakom Hatsadeang, Nattapat Karaket, Witthawin Achariyaviriya, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Terence Siganakis

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引用次数: 0

摘要

本文讨论了与临床自动编码相关的新趋势和挑战。我们引入了一个自动编码系统，该系统仅根据给患者开的药物分配简短的ICD-10代码(仅限于前三个符号，它们定义了疾病的类别)。我们表明，即使输入数据有限，准确率水平也可与Seyed Nouraei等人所描述的初级临床编码员所达到的水平相比较。我们还检查了性能评估的标准方法，并推测我们编码系统的实际准确率甚至高于估计。

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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AUTOMATIC ICD-10 CODING USING PRESCRIBED DRUGS DATA.

This article discusses the emerging trends and challenges related to automatic clinical coding. We introduce an automatic coding system, which assigns short ICD-10 codes (restricted to the first three symbols, which define the category of the disease) based only on drugs prescribed to patients. We show that even with limited input data, the accuracy levels are comparable to those achieved by entry-level clinical coders as depicted by Seyed Nouraei et al.¹ We also examine the standard method for performance estimation and speculate that the actual accuracy of our coding system is even higher than estimated.

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来源期刊

Perspectives in health information management / AHIMA, American Health Information Management Association Medicine-Medicine (all)

CiteScore

1.90

自引率

0.00%

发文量

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.