Semi-Automated Approach to Retrieve SNOMED CT Hierarchy of Clinical Terms by Using Terminology Server

被引：0
|
作者：
Rajput A.M. [1 ]
Triep K. [1 ]
Endrich O. [1 ]
机构：
[1] Medical Directorate, Medizincontrolling, Inselspital, University Hospital Bern, Insel Gruppe, Bern
来源：
Studies in Health Technology and Informatics | 2023年 / 301卷
关键词：
KNIME; RESTful API Methods; Semantic Interoperability; SNOMED CT; Snowstorm; Terminology Server;
D O I：
10.3233/SHTI230029
中图分类号：
学科分类号：
摘要：
SNOMED CT has an enormous number of clinical concepts and mapping to SNOMED CT is considered as the foundation to achieve semantic interoperability in healthcare. Manual mapping is time-consuming and error-prone thus making this crucial step challenging. In addition, hierarchy retrieval of clinical concepts increases the challenges for the user. Terminology Servers provide an interface, which can be used to automate the process of retrieving data. In this work, it is shown that Snowstorm can significantly improve the efficiency of retrieval process if used with semi-automated workflows. © 2023 The authors, AIT Austrian Institute of Technology and IOS Press.
引用
收藏
页码：142 / 147
页数：5
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