Ontoserver: a syndicated terminology server (original) (raw)
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A terminology server for integrating clinical information systems: the galen approach
1995
Abstract Terminologies have traditionally been considered as static datasets held in books or databases. The GALEN Terminology Server presents a prototype for a new view of terminologies as a set of functions and services provided to other applications as part of a strategy for sharing and re-using information and knowledge. The essential features of the Terminology server are the functions which it can perform: questions which it can answer and statements which it can be told.
Clinical Terminologies: A Solution for Semantic Interoperability
Journal of Korean Society of Medical Informatics, 2009
To realize the benefits of electronic health records, electronic health record information needs to be shared seamlessly and meaningfully. Clinical terminology systems, one of the current semantic interoperability solutions, were reviewed in this article. Definition, types, brief history, and examples of clinical terminologies were introduced along with phases of clinical terminology use and issues on clinical terminology use in electronic health records. Other attempts to standardize the capture, representation and communication of clinical data were also discussed briefly with future needs.
A practical approach to advanced terminology services in health information systems
Studies in health technology and informatics, 2007
As the medical informatics field evolves, new functions appear as the focus of interest; a more advanced management of terminology is one of them. Using comprehensive and detailed terminology to represent clinical rules in computer systems, associated with patient information, would allow clinical software to provide patient specific recommendations or alerts. In order to uniform data collection through our HIS, and lay the foundations for future clinical decision support systems, we decided to move from our previous classification-based medical record into new terminology services built around Snomed CT, Spanish Language Version. This paper describes the characteristics of our Terminology Server. The most important achievements of our new terminology system are the centralization of knowledge representation, using a much more detailed terminology system. Clinical data entered at any place of the institution and level of care, is represented uniformly through the whole health inform...
Leveraging SNOMED CT with a General Purpose Terminology Server
General purpose terminology server software facilitates coordinated use of multiple standard medical terminologies for diverse healthcare applications. SNOMED CT is an important clinical reference terminology, whose size and scope make advanced terminology server capabilities particularly useful. Moreover, capabilities tied to SNOMED CT's special features and requirements can result in substantial further benefits. Enhancements to a general purpose terminology server have been developed to facilitate the tailored creation, validation, organization, deployment, distribution, submission and maintenance of (post- coordinated) extensions to SNOMED CT.
1 The Generic Clinical Ontology Viewer
2008
Clinical thesauruses, terminologies, ontologies and classifications (TTOCs) are becoming an important infrastructure for information technologies in the health sector. Recently many medical organizations have developed their own medical or clinical TTOCs and in the last few years, many tools have been developed to browse them. However the tools cannot be used to browse and visualize any other TTOC which deviates from the original in any aspects of data structure. The aim of this project has been to build a generic web-based viewer for all of the existing clinical TTOCs. Their common characteristics need to share the general properties and structures of relationships between concepts, an ordered organization of concepts in a parent-child paradigm arranged in a set of top level general categories. This generic viewer is built on a terminology server platform that provides a set of general functions which respond to requests for common information for the available TTOCs. As we receive...
The Generic Clinical Ontology Viewer
2000
Clinical thesauruses, terminologies, ontologies and classifications (TTOCs) are becoming an important infrastructure for information technologies in the health sector. Recently many medical organizations have developed their own medical or clinical TTOCs and in the last few years, many tools have been developed to browse them. However the tools cannot be used to browse and visualize any other TTOC which deviates
SNOMED CT standard ontology based on the ontology for general medical science
BMC Medical Informatics and Decision Making, 2018
Background: Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is acomprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic healthdata. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but theseefforts have been hampered by the size and complexity of SCT. Method: Our proposal here is to develop an upper-level ontology and to use it as the basis for defining the termsin SCT in a way that will support quality assurance of SCT, for example, by allowing consistency checks ofdefinitions and the identification and elimination of redundancies in the SCT vocabulary. Our proposed upper-levelSCT ontology (SCTO) is based on the Ontology for General Medical Science (OGMS). Results: The SCTO is implemented in OWL 2, to support automatic inference and consistency checking. Theapproach will allow integration of SCT data with data annotated using Open Biomedical Ontologies (OBO) Foundryontologies, since the use of OGMS will ensure consistency with the Basic Formal Ontology, which is the top-levelontology of the OBO Foundry. Currently, the SCTO contains 304 classes, 28 properties, 2400 axioms, and 1555annotations. It is publicly available through the bioportal athttp://bioportal.bioontology.org/ontologies/SCTO/. Conclusion: The resulting ontology can enhance the semantics of clinical decision support systems and semanticinteroperability among distributed electronic health records. In addition, the populated ontology can be used forthe automation of mobile health applications. Keywords: SNOMED CT, Ontology, Clinical terminology, Electronic health records, Description logic
Semi-Automated Approach to Map Clinical Concepts to SNOMED CT Terms by Using Terminology Server
Studies in health technology and informatics, 2022
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. Terminology Servers provide an interface, which can be used to automate the process of retrieving data. Snowstorm is a terminology server developed by SNOMED International. In this work, the feasibility of using Snowstorm to automate the data retrieval and mapping has been discussed.
Domain specific biomedical lexicons are extensively used by researchers for natural language processing tasks. Currently these lexicons are created manually by expert curators and there is a pressing need for automated methods to compile such lexicons. The Lexicon Builder Web service addresses this need and reduces the investment of time and effort involved in lexicon maintenance. The service has three components: Inclusion -selects one or several ontologies (or its branches) and includes preferred names and synonym terms; Exclusion -filters terms based on the term's Medline frequency, syntactic type, UMLS semantic type and match with stopwords; Output -aggregates information, handles compression and output formats. Evaluation demonstrates that the service has high accuracy and runtime performance. It is currently being evaluated for several use cases to establish its utility in biomedical information processing tasks. The Lexicon Builder promotes collaboration, sharing and standardization of lexicons amongst researchers by automating the creation, maintainence and cross referencing of custom lexicons.
Semantic interoperability is essential for advanced Electronic Health Records (EHRs) functionality, and in particular for data exchanges, and efficient communication among clinicians. Integrated terminology services offer the chance to manage clinical code systems, both standard and local, and value sets, through a series of functionalities such as searching, querying, cross mapping, etc. The main standard in the domain is Clinical Terminology Service Release 2 (CTS2) by Health Level 7 (HL7). This paper describes the approach used for designing and developing an integrated terminology service based on the CTS2 standard, namely Servizio Terminologico Integrato (STI), which aims to support domain experts and healthcare organizations in ensuring semantic interoperability in the Italian Federated EHR.