AHD2FHIR：将自然语言注释映射到快速医疗互操作性资源的工具 - 技术案例报告。

AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report.

机构信息

Institute of Medical Informatics, Statistics and Epidemiology, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

Institute of Medical Biometry and Statistics, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

出版信息

Stud Health Technol Inform. 2022 Jun 6;290:32-36. doi: 10.3233/SHTI220026.

DOI:10.3233/SHTI220026

PMID:35672965

Abstract

A significant portion of data in Electronic Health Records is only available as unstructured text, such as surgical or finding reports, clinical notes and discharge summaries. To use this data for secondary purposes, natural language processing (NLP) tools are required to extract structured information. Furthermore, for interoperable use, harmonization of the data is necessary. HL7 Fast Healthcare Interoperability Resources (FHIR), an emerging standard for exchanging healthcare data, defines such a structured format. For German-language medical NLP, the tool Averbis Health Discovery (AHD) represents a comprehensive solution. AHD offers a proprietary REST interface for text analysis pipelines. To build a bridge between FHIR and this interface, we created a service that translates the communication around AHD from and to FHIR. The application is available under an open source license.

摘要

电子健康记录中的很大一部分数据仅以非结构化文本的形式存在，例如手术或检查报告、临床记录和出院小结。为了将这些数据用于其他目的，需要使用自然语言处理 (NLP) 工具来提取结构化信息。此外，为了实现互操作性，有必要对数据进行协调。HL7 Fast Healthcare Interoperability Resources (FHIR) 是用于交换医疗保健数据的新兴标准，它定义了这种结构化格式。对于德语医疗 NLP，工具 Averbis Health Discovery (AHD) 代表了一种全面的解决方案。AHD 为文本分析管道提供了专有的 REST 接口。为了在 FHIR 和该接口之间架起桥梁，我们创建了一个服务，用于将 AHD 周围的通信从 FHIR 转换。该应用程序是开源的。