Rajput, Abdul Mateen; Triep, Karen; Endrich, Olga (2023). Semi-Automated Approach to Retrieve SNOMED CT Hierarchy of Clinical Terms by Using Terminology Server. Studies in health technology and informatics, 301, pp. 142-147. IOS Press 10.3233/SHTI230029
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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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Medical Oncology |
UniBE Contributor: |
Triep, Karen, Endrich, Olga |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
0926-9630 |
Publisher: |
IOS Press |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
15 May 2023 13:02 |
Last Modified: |
16 May 2023 15:35 |
Publisher DOI: |
10.3233/SHTI230029 |
PubMed ID: |
37172170 |
Uncontrolled Keywords: |
KNIME RESTful API Methods SNOMED CT Semantic Interoperability Snowstorm Terminology Server |
BORIS DOI: |
10.48350/182520 |
URI: |
https://boris.unibe.ch/id/eprint/182520 |
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