Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports
Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports
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DOI：
10.1148/radiol.2241011118
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发表时间：
2002-07-01
期刊：
影响因子：
19.7
通讯作者：
Friedman, C
中科院分区：
文献类型：
--
作者：
Hripcsak, G;Austin, JHM;Friedman, C
目的：评价自然语言处理在胸片报告翻译中的应用，并与文献结果进行比较。材料和方法：一个自然语言处理器对来自城市学术医疗中心的10年叙事胸片报告进行编码。对150份报告的编码与手工编码进行了比较。估计24种临床状况（疾病、异常和临床状态）的频率和发生率。将左右肺肿块的比例、胸膜积液与其他疾病的关系以及枪伤和刺伤的频率与独立观察结果进行比较。将该系统的气胸编码与人工财务编码的敏感性和特异性进行比较。结果：该系统编码了889,921份报告，涉及251,186名患者。在对150份报告进行人工编码的基础上，处理器的敏感性（0.81）和特异性（0.99）与之前报道的自然语言处理和专家编码相当。所选条件的频率范围从胸腔积液的0.22到张力性气胸的0.0004。该数据库证实了早期的观察结果，即肺癌的发病比例为3:2。胸膜积液与其他疾病的关联反映了文献中的情况。子弹和刀伤在过去十年中以与犯罪统计数据一致的速度下降。对气胸病例的回顾显示，该数据库（敏感性1.00，特异性0.996）比财务出院编码（敏感性0.17,P = 0.002，特异性0.996，无统计学意义）更准确。结论：本研究的内部和外部验证证实了自然语言处理将胸片叙事报告翻译成大型信息数据库的准确性。(c) rsna， 2002年。
PURPOSE: To evaluate translation of chest radiographic reports by using natural language processing and to compare the findings with those in the literature.MATERIALS AND METHODS: A natural language processor coded 10 years of narrative chest radiographic reports from an urban academic medical center. Coding for 150 reports was compared with manual coding. Frequencies and cooccurrences of 24 clinical conditions (diseases, abnormalities, and clinical states) were estimated. The ratio of right to left lung mass, association of pleural effusion with other conditions, and frequency of bullet and stab wounds were compared with independent observations. The sensitivity and specificity of the system's pneumothorax coding were compared with those of manual financial coding.RESULTS: The system coded 889,921 reports on 251,186 patients. On the basis of manual coding of 150 reports, the processor's sensitivity (0.81) and specificity (0.99) were comparable to those previously reported for natural language processing and for expert coders. The frequencies of the selected conditions ranged from 0.22 for pleural effusion to 0.0004 for tension pneumothorax. The database confirmed earlier observations that lung cancer occurs in a 3:2 right-to-left ratio. The association of pleural effusion with other conditions mirrored that in the literature. Bullet and stab wounds decreased during 10 years at a rate consistent with crime statistics. A review of pneumothorax cases showed that the database (sensitivity, 1.00; specificity, 0.996) was more accurate than financial discharge coding (sensitivity, 0.17; P = .002; specificity, 0.996; not significant).CONCLUSION: Internal and external validation in this study confirmed the accuracy of natural language processing for translating chest radiographic narrative reports into a large database of information. (C) RSNA, 2002.