Suppr超能文献

评估急诊医学中自动编码系统的准确性。

Assessing the accuracy of an automated coding system in emergency medicine.

作者信息

Morris W C, Heinze D T, Warner Jr H R, Primack A, Morsch A E, Sheffer R E, Jennings M A, Morsch M L, Jimmink M A

出版信息

Proc AMIA Symp. 2000:595-9.

Abstract

Accuracy and speed are imperative when it comes to coding medical records. Completely automated approaches to coding are faster than human coders, but are they as accurate? To measure accuracy, a "gold standard" is required; however, establishing a standard for medical records coding is problematic given the inherent ambiguity in some of the coding rules and guidelines. This paper presents statistics regarding the variability amongst experienced coders and compares this variability with an automated system, LifeCode. The authors conclude that LifeCode is as accurate as the human coders used in this study and offers the potential for increased coding consistency and productivity.

摘要

在对医疗记录进行编码时,准确性和速度至关重要。完全自动化的编码方法比人工编码员速度更快,但它们的准确性如何呢?为了衡量准确性,需要一个“黄金标准”;然而,鉴于某些编码规则和指南中存在固有的模糊性,为医疗记录编码建立一个标准是有问题的。本文展示了有关经验丰富的编码员之间变异性的统计数据,并将这种变异性与一个自动化系统LifeCode进行了比较。作者得出结论,LifeCode与本研究中使用的人工编码员一样准确,并具有提高编码一致性和生产力的潜力。

相似文献

引用本文的文献

2
Can structured EHR data support clinical coding? A data mining approach.
Health Syst (Basingstoke). 2020 Mar 1;10(2):138-161. doi: 10.1080/20476965.2020.1729666.
3
Facilitating accurate health provider directories using natural language processing.
BMC Med Inform Decis Mak. 2019 Apr 4;19(Suppl 3):80. doi: 10.1186/s12911-019-0788-x.
4
Need of informatics in designing interoperable clinical registries.
Int J Med Inform. 2017 Dec;108:78-84. doi: 10.1016/j.ijmedinf.2017.10.004. Epub 2017 Oct 10.
5
A method for modeling co-occurrence propensity of clinical codes with application to ICD-10-PCS auto-coding.
J Am Med Inform Assoc. 2016 Sep;23(5):866-71. doi: 10.1093/jamia/ocv201. Epub 2016 Feb 17.
6
A systematic literature review of automated clinical coding and classification systems.
J Am Med Inform Assoc. 2010 Nov-Dec;17(6):646-51. doi: 10.1136/jamia.2009.001024.
7
Natural language processing framework to assess clinical conditions.
J Am Med Inform Assoc. 2009 Jul-Aug;16(4):585-9. doi: 10.1197/jamia.M3091. Epub 2009 Apr 23.
8
Medical i2b2 NLP smoking challenge: the A-Life system architecture and methodology.
J Am Med Inform Assoc. 2008 Jan-Feb;15(1):40-3. doi: 10.1197/jamia.M2438. Epub 2007 Oct 18.
10
Comparing paper-based with electronic patient records: lessons learned during a study on diagnosis and procedure codes.
J Am Med Inform Assoc. 2003 Sep-Oct;10(5):470-7. doi: 10.1197/jamia.M1290. Epub 2003 Jun 4.

本文引用的文献

1
Coding errors encountered in DRG study.
J Am Med Rec Assoc. 1986 Jul;57(7):15-7.
2
Accuracy of diagnostic coding for Medicare patients under the prospective-payment system.
N Engl J Med. 1988 Feb 11;318(6):352-5. doi: 10.1056/NEJM198802113180604.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验