Literature review of SNOMED CT use

Lee, Dennis; Keizer, Nicolette de; Lau, Francis; Cornet, Ronald

doi:10.1136/amiajnl-2013-001636

Cited by 130 publications

(95 citation statements)

References 24 publications

(32 reference statements)

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“…SNOMED CT is reportedly used in over 50 countries; however, there are still few articles that describe how this nomenclature is being used in operational settings [15]. Countries such as the United States of America, United Kingdom, Canada, Netherlands, New Zealand, and Australia have designated SNOMED CT as the recommended clinical reference terminology for clinical information systems [16].…”

Section: Discussionmentioning

confidence: 99%

Interoperable Electronic Health Records (EHRs) for Ecuador

Silva¹,

Ja²,

Je³

et al. 2017

J Health Med Inform

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Since September 2013 the Ministry of Public Health (MSP) Methods:The project is based on the conventional engineering cycle for software development.Results: PROMEINFO has developed a proposal for the new implementation of the Sisalud System, using a semantic interoperable system that complies with all of the Ecuadorian standards. The proposal operates through the use of archetypes based on ISO 13606 and SNOMED CT terminology for semantic interoperability. Conclusion:It is expected that the present article will contribute to promote the interoperability of the medical records implemented in Ecuador, which will result in a timely and comprehensive attention of the patients and to improve their quality of health care.

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Section: Discussionmentioning

confidence: 99%

Interoperable Electronic Health Records (EHRs) for Ecuador

Silva¹,

Ja²,

Je³

et al. 2017

J Health Med Inform

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“…For many areas of medicine, international healthcareterminology standards for biomedical data science already exists. These standards are organized into ontologies, such as the Foundational Model of Anatomy [15], Gene Ontology [16] and SNOMED-CT [17]. While these dictionaries do describe the medical background, they do not provide a dictionary for describing interventional medicine.…”

Section: Ontologymentioning

confidence: 99%

Surgical data science, an emerging field of medicine

Nagy

Rudas

Haidegger

2017

2017 IEEE 30th Neumann Colloquium (NC)

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Abstract-Computer Assisted Surgery (CAS) significantly changed the course of interventional medicine. The development of medical imaging opened up the possibility for accurate, patient specific planning, and advanced imaging techniques provided the ground for the development of real-time navigation systems. The advancement of minimally invasive surgical techniques and tools required increasing manuality from the surgeon, which facilitated the development of tele-robotic manipulation. These systems provide a vast amount of objective inta-operative data, thus many believe that the next step could be big data analysis for creating and evaluating surgical process models. This emerging field of medicine, called Surgical Data Science, has the potential to improve intervetional medicine with objective statistical analysis, and therefore to provide better patient outcomes and a reduction in healthcare costs.

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“…concepts can have It provides a compositional syntax which allows multiple ontology terms to be combined in order to build composite terms to represent complex medical concepts, a process known as post-coordination. Signifi cant variation exists internationally with regards to SNOMED-CT adoption and implementation [ 19 ] and its use for research or routine clinical care. In the UK National Health Service (NHS), SNOMED-CT has been designated to become the standard clinical terminology to be used across the entire health care system by 2020.…”

Section: Diagnosesmentioning

confidence: 99%

Integrating Bio-ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes

Denaxas

2016

Methods in Molecular Biology

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Electronic Health Records (EHR) are inherently complex and diverse and cannot be readily integrated and analyzed. Analogous to the Gene Ontology, controlled clinical terminologies were created to facilitate the standardization and integration of medical concepts and knowledge and enable their subsequent use for translational research, offi cial statistics and medical billing. This chapter will introduce several of the main controlled clinical terminologies used to record diagnoses, surgical procedures, laboratory results and medications. The discovery of novel therapeutic agents and treatments for rare or common diseases increasingly requires the integration of genotypic and phenotypic knowledge across different biomedical data sources. Mechanisms that facilitate this linkage, such as the Human Phenotype Ontology, are also discussed.

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Literature review of SNOMED CT use

Cited by 130 publications

References 24 publications

Interoperable Electronic Health Records (EHRs) for Ecuador

Interoperable Electronic Health Records (EHRs) for Ecuador

Surgical data science, an emerging field of medicine

Integrating Bio-ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes

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