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Ontologies for Knowledge Representation
Published in Archana Patel, Narayan C. Debnath, Bharat Bhushan, Semantic Web Technologies, 2023
SNOMED [18] Systematized Nomenclature of Medicine Clinical Terms is an ontology or multi-lingual library for scientifically accepted terms in clinical healthcare making the knowledge easier to use and access. SNOMED is used by physicians and other health care providers to electronically exchange clinical health information. Currently, there are 300,000 clinical terms in SNOMED-CT.
Integrating with other Systems
Published in Alexander Peck, Clark’s Essential PACS, RIS and Imaging Informatics, 2017
4A Results will be in a structured form. The use of SNOMED-CT to codify reports allows for the standardised sharing of information as well as aiding individual and group healthcare provision, owing to the simplicity of providing ‘plain English’ breakdowns (the codes can be expanded/translated as necessary).
Telemedicine Technology
Published in Rajarshi Gupta, Dwaipayan Biswas, Health Monitoring Systems, 2019
Medical informatics primarily focusses on representation and computation on medical and health information. These are needed for design and development of a medical information system providing healthcare services and business. Different international standards have been evolved for exchange and management of information related to these areas. These standards are developed so that the systems designed by different organizations and running on different platforms could be made interoperable. Let us consider a few example cases. If a hospital requires to send information and a query regarding a patient to another referral hospital, the systems at both ends should have a protocol for exchange of information. In another situation, for getting payment from an insurance company, the hospital may require to send relevant information of their services and their charges to them. All these different types of information related to healthcare services should be sent in a format following a standard of data representation. For exchanging messages and queries among multiple information systems operating independently, there should be a common language and a common format for representing patients’ data. Two such standards are very widely used in medical business world, namely HL7, which is a messaging protocol specifically developed to exchange health/medical/patient information between information systems, and the other standard, DICOM, which is used for representing medical images, waveforms, etc. and exchange of information in radiological imaging systems such as Picture Archiving and Communication System (PACS). There are also other types of health standards, which focus on requirements of a particular department or domain. For example, International Statistical Classification of Diseases and Related Health Problems (ICD9, and ICD10) are meant for identifying and classifying diseases. The standard Logical Observation Identifiers Names and Codes (LOINC) is used for denoting laboratory observations, health measurements, observations, and documents. Another standard Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT) targets at defining multilingual vocabulary of clinical terms.
Distributed electronic health record based on semantic interoperability using fuzzy ontology: a survey
Published in International Journal of Computers and Applications, 2018
Ebtsam Adel, Shaker El-Sappagh, Sherif Barakat, Mohammed Elmogy
SNOMED CT is a non-profit universal standard that refers to ‘Systematized Nomenclature of Medicine Clinical Terms.’ It is viewed as the most multilingual, exact, and complete clinical wording everywhere throughout the world. It contains more than 370,000 concepts, 990,000 English portrayals and descriptions, and 1.5 million connections [26]. SNOMED CT consists of concepts, terms, and relationships. It is established to support the perfect recording of clinical data, with the overall aim of enhancing the healthcare of patients. It manipulates many areas, such as operations, diseases, devices, symptoms, treatments, and drugs. SNOMED CT is helpful in decision-making and analysis, leading to higher quality, and safety in healthcare delivery [34].
Quality medical data management within an open AI architecture – cancer patients case
Published in Connection Science, 2023
Mirjana Ivanovic, Serge Autexier, Miltiadis Kokkonidis, Johannes Rust
SNOMED CT – Systematised Nomenclature of Medicine Clinical Terms is a comprehensive, computerised healthcare terminology widely used in medical and health information systems in numerous countries (Lee, Cornet, et al., 2013). It obtains higher level of interoperability between different data sources, health information systems (HIS), and services. Medical and health data represented in such standard forms can be later easier transformed in some other formats more suitable for AI/ML data processing.