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使用自然语言诊断的综合病理学报告、索引编制及检索系统。

Integrated pathology reporting, indexing, and retrieval system using natural language diagnoses.

作者信息

Moore G W, Boitnott J K, Miller R E, Eggleston J C, Hutchins G M

机构信息

Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, Maryland.

出版信息

Mod Pathol. 1988 Jan;1(1):44-50.

PMID:3070549
Abstract

Pathology computer systems are making increasing use of natural language diagnoses. The Johns Hopkins Medical Institutions integrated pathology reporting system, a commercial product with extensive, locally added enhancements, covers all information management functions within autopsy and surgical pathology divisions and has on-line linkages to clinical laboratory reports and the medical library's Mini-MEDLINE system. All diagnoses are written in natural language, using a word processor and spelling checker. A security system with personal passwords and different levels of access for different staff members allows reports to be signed out with an electronic signature. The system produces financial reports, overdue case reports, and Boolean searches of the database. Our experience with 128,790 consecutively entered pathology reports suggests that the greater precision of natural language diagnoses makes them the most suitable vehicle for follow-up, retrieval, and systems development functions in pathology.

摘要

病理学计算机系统越来越多地使用自然语言诊断。约翰霍普金斯医疗机构综合病理学报告系统是一款商业产品,有大量本地添加的增强功能,涵盖尸检和外科病理科内的所有信息管理功能,并与临床实验室报告和医学图书馆的Mini-MEDLINE系统有在线链接。所有诊断均使用文字处理器和拼写检查器以自然语言书写。带有个人密码和针对不同工作人员的不同访问级别的安全系统允许使用电子签名签出报告。该系统生成财务报告、逾期病例报告以及对数据库的布尔搜索。我们对连续录入的128790份病理学报告的经验表明,自然语言诊断的更高精确性使其成为病理学随访、检索和系统开发功能的最合适工具。

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