A survey of SNOMED CT implementations

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

doi:10.1016/j.jbi.2012.09.006

Cited by 111 publications

(81 citation statements)

References 20 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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]. The alternative to the use of equivalent nomenclature tables (synonyms) is the use of ontologies [17] which maintain data storage independent of content specification; but this approach is not yet standardized.…”

Section: Discussionmentioning

confidence: 99%

Interoperable Electronic Health Records (EHRs) for Ecuador

Silva¹,

Ja²,

Je³

et al. 2017

J Health Med Inform

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

Interoperable Electronic Health Records (EHRs) for Ecuador

Silva¹,

Ja²,

Je³

et al. 2017

J Health Med Inform

View full text Add to dashboard Cite

show abstract

“…Recently, Lee proposed that using post-coordinated expressions may be a convenient way to retrieve ICD codes but observed that such an approach is still untested [26]. We favored this approach to improve searches of MedDRA and agree that this methodology would be useful for other terminologies such as ICD.…”

Section: Perspectivesmentioning

confidence: 93%

OntoADR a semantic resource describing adverse drug reactions to support searching, coding, and information retrieval

Souvignet

Declerck

Asfari

et al. 2016

Journal of Biomedical Informatics

View full text Add to dashboard Cite

The methods we describe in this article could be adapted and extended to other terminologies which do not benefit from a formal semantic representation, thus enabling better data retrieval performance. Our custom groupings of MedDRA terms were used while performing signal detection, which suggests that the graphical user interface we are currently implementing to process OntoADR could be usefully integrated into specialized pharmacovigilance software that rely on MedDRA.

show abstract

“…SNOMED CT. SNOMED Clinical Terms is a large ontology of medical concepts that has been recommended as the reference terminology for clinical information systems in countries such as Australia, the United Kingdom, Canada, and the United States [11]. It includes formal definitions, codes, terms, and synonyms for more than 300,000 medical concepts.…”

Section: Domain-specific Vocabulariesmentioning

confidence: 99%

Evaluation of text-processing algorithms for adverse drug event extraction from social media

Metke-Jimenez

Karimi

Paris

2014

Proceedings of the First International Workshop on Social Media Retrieval and Analysis

View full text Add to dashboard Cite

The discovery of suspected adverse drug reactions is no longer restricted to mining reports that pharmaceutical companies and health professionals send to regulators for possible safety signals. Patient forums and other social media are being studied for additional sources of information to assist in expediting adverse reaction discovery. Extracting information on drugs, adverse drug reactions, diseases and symptoms, or patient demographics from such media is an essential step of this process, but it is not straightforward. While most studies in this area use a lexicon-based information extraction methodology, they do not explicitly evaluate the impact of text-processing steps on their final results. We experimentally quantify the value of the most popular techniques to establish whether or not they benefit the information extraction process.

show abstract

A survey of SNOMED CT implementations

Cited by 111 publications

References 20 publications

Interoperable Electronic Health Records (EHRs) for Ecuador

Interoperable Electronic Health Records (EHRs) for Ecuador

OntoADR a semantic resource describing adverse drug reactions to support searching, coding, and information retrieval

Evaluation of text-processing algorithms for adverse drug event extraction from social media

Contact Info

Product

Resources

About