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Pesquisa : L01.178.682.192.836.285.419 [Categoria DeCS]
Referências encontradas : 273 [refinar]
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[PMID]:28654424
[Au] Autor:Haridas RP
[Ad] Endereço:From the Harry Daly Museum and the Richard Bailey Library, Australian Society of Anaesthetists, North Sydney, New South Wales, Australia.
[Ti] Título:Earliest English Definitions of Anaisthesia and Anaesthesia.
[So] Source:Anesthesiology;127(5):747-753, 2017 Nov.
[Is] ISSN:1528-1175
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:The earliest identified English definition of the word anaisthesia was discovered in the first edition (1684) of A Physical Dictionary, an English translation of Steven Blankaart's medical dictionary, Lexicon Medicum Graeco-Latinum. This definition was almost certainly the source of the definition of anaesthesia which appeared in Dictionarium Anglo-Britannicum (1708), a general-purpose English dictionary compiled by the lexicographer John Kersey. The words anaisthesia and anaesthesia have not been identified in English medical or surgical publications that antedate the earliest English dictionaries in which they are known to have been defined.
[Mh] Termos MeSH primário: Anestesia/classificação
Anestesia/história
Dicionários Médicos
[Mh] Termos MeSH secundário: História do Século XVII
História do Século XVIII
História do Século XIX
Seres Humanos
[Pt] Tipo de publicação:HISTORICAL ARTICLE; JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171026
[Lr] Data última revisão:
171026
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:170628
[St] Status:MEDLINE
[do] DOI:10.1097/ALN.0000000000001764


  2 / 273 MEDLINE  
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[PMID]:27295764
[Au] Autor:Fujiwara T
[Ti] Título:[A PARTIAL REVISION OF SURGICAL GLOSSARY (WEB EDITION)].
[So] Source:Nihon Geka Gakkai Zasshi;117(2):91, 2016 Mar.
[Is] ISSN:0301-4894
[Cp] País de publicação:Japan
[La] Idioma:jpn
[Mh] Termos MeSH primário: Dicionários Médicos
[Mh] Termos MeSH secundário: Internet
Sociedades Médicas
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1609
[Cu] Atualização por classe:160614
[Lr] Data última revisão:
160614
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160615
[St] Status:MEDLINE


  3 / 273 MEDLINE  
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[PMID]:27245013
[Au] Autor:Liu J; Xie YM; Gai GZ; Liao X
[Ti] Título:[Application analysis of adverse drug reaction terminology WHOART and MedDRA].
[So] Source:Zhongguo Zhong Yao Za Zhi;40(24):4728-33, 2015 Dec.
[Is] ISSN:1001-5302
[Cp] País de publicação:China
[La] Idioma:chi
[Ab] Resumo:Drug safety has always been a global focus. Discovery and accurate information acquisition of adverse drug reaction have been the most crucial concern. Terminology of adverse drug reaction makes adverse reaction medical report meaningful, standardized and accurate. This paper discussed the domestic use of the terminology WHOART and MedDRA in terms of content, structure, and application situation. It also analysed the differences between the two terminologies and discusses the future trend of application in our country
[Mh] Termos MeSH primário: Dicionários Médicos
Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos
Terminologia como Assunto
Organização Mundial da Saúde
[Pt] Tipo de publicação:ENGLISH ABSTRACT; JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1607
[Cu] Atualização por classe:160601
[Lr] Data última revisão:
160601
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:160602
[St] Status:MEDLINE


  4 / 273 MEDLINE  
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[PMID]:26262158
[Au] Autor:Keny A; Wanyee S; Kwaro D; Mulwa E; Were MC
[Ad] Endereço:Academic Model Proving Access to Healthcare(AMPATH), Eldoret, Kenya.
[Ti] Título:Developing a National-Level Concept Dictionary for EHR Implementations in Kenya.
[So] Source:Stud Health Technol Inform;216:780-4, 2015.
[Is] ISSN:0926-9630
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:The increasing adoption of Electronic Health Records (EHR) by developing countries comes with the need to develop common terminology standards to assure semantic interoperability. In Kenya, where the Ministry of Health has rolled out an EHR at 646 sites, several challenges have emerged including variable dictionaries across implementations, inability to easily share data across systems, lack of expertise in dictionary management, lack of central coordination and custody of a terminology service, inadequately defined policies and processes, insufficient infrastructure, among others. A Concept Working Group was constituted to address these challenges. The country settled on a common Kenya data dictionary, initially derived as a subset of the Columbia International eHealth Laboratory (CIEL)/Millennium Villages Project (MVP) dictionary. The initial dictionary scope largely focuses on clinical needs. Processes and policies around dictionary management are being guided by the framework developed by Bakhshi-Raiez et al. Technical and infrastructure-based approaches are also underway to streamline workflow for dictionary management and distribution across implementations. Kenya's approach on comprehensive common dictionary can serve as a model for other countries in similar settings.
[Mh] Termos MeSH primário: Dicionários Médicos
Registros Eletrônicos de Saúde/organização & administração
[Mh] Termos MeSH secundário: Fortalecimento Institucional
Países em Desenvolvimento
Registros Eletrônicos de Saúde/normas
Necessidades e Demandas de Serviços de Saúde
Seres Humanos
Disseminação de Informação
Quênia
Desenvolvimento de Programas
Terminologia como Assunto
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T; RESEARCH SUPPORT, U.S. GOV'T, P.H.S.
[Em] Mês de entrada:1604
[Cu] Atualização por classe:150812
[Lr] Data última revisão:
150812
[Sb] Subgrupo de revista:T
[Da] Data de entrada para processamento:150812
[St] Status:MEDLINE


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[PMID]:25335619
[Au] Autor:Evans R
[Ad] Endereço:Nursing Standard.
[Ti] Título:Merriam-Webster's medical dictionary app.
[So] Source:Nurs Stand;29(8):33, 2014 Oct 28.
[Is] ISSN:2047-9018
[Cp] País de publicação:England
[La] Idioma:eng
[Mh] Termos MeSH primário: Dicionários Médicos
Aplicativos Móveis
[Mh] Termos MeSH secundário: Seres Humanos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1607
[Cu] Atualização por classe:141022
[Lr] Data última revisão:
141022
[Sb] Subgrupo de revista:N
[Da] Data de entrada para processamento:141023
[St] Status:MEDLINE
[do] DOI:10.7748/ns.29.8.33.s39


  6 / 273 MEDLINE  
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[PMID]:23813539
[Au] Autor:Moon S; Pakhomov S; Liu N; Ryan JO; Melton GB
[Ad] Endereço:Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
[Ti] Título:A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources.
[So] Source:J Am Med Inform Assoc;21(2):299-307, 2014 Mar-Apr.
[Is] ISSN:1527-974X
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: To create a sense inventory of abbreviations and acronyms from clinical texts. METHODS: The most frequently occurring abbreviations and acronyms from 352,267 dictated clinical notes were used to create a clinical sense inventory. Senses of each abbreviation and acronym were manually annotated from 500 random instances and lexically matched with long forms within the Unified Medical Language System (UMLS V.2011AB), Another Database of Abbreviations in Medline (ADAM), and Stedman's Dictionary, Medical Abbreviations, Acronyms & Symbols, 4th edition (Stedman's). Redundant long forms were merged after they were lexically normalized using Lexical Variant Generation (LVG). RESULTS: The clinical sense inventory was found to have skewed sense distributions, practice-specific senses, and incorrect uses. Of 440 abbreviations and acronyms analyzed in this study, 949 long forms were identified in clinical notes. This set was mapped to 17,359, 5233, and 4879 long forms in UMLS, ADAM, and Stedman's, respectively. After merging long forms, only 2.3% matched across all medical resources. The UMLS, ADAM, and Stedman's covered 5.7%, 8.4%, and 11% of the merged clinical long forms, respectively. The sense inventory of clinical abbreviations and acronyms and anonymized datasets generated from this study are available for public use at http://www.bmhi.umn.edu/ihi/research/nlpie/resources/index.htm ('Sense Inventories', website). CONCLUSIONS: Clinical sense inventories of abbreviations and acronyms created using clinical notes and medical dictionary resources demonstrate challenges with term coverage and resource integration. Further work is needed to help with standardizing abbreviations and acronyms in clinical care and biomedicine to facilitate automated processes such as text-mining and information extraction.
[Mh] Termos MeSH primário: Abreviaturas como Assunto
Dicionários Médicos
Unified Medical Language System
[Mh] Termos MeSH secundário: Adolescente
Adulto
Idoso
Idoso de 80 Anos ou mais
Criança
Feminino
Seres Humanos
MEDLINE
Masculino
Registros Médicos
Meia-Idade
Processamento de Linguagem Natural
Adulto Jovem
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, N.I.H., EXTRAMURAL; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1405
[Cu] Atualização por classe:161019
[Lr] Data última revisão:
161019
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:130702
[St] Status:MEDLINE
[do] DOI:10.1136/amiajnl-2012-001506


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[PMID]:23920973
[Au] Autor:Filipi JM; Khairat S
[Ad] Endereço:Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
[Ti] Título:Tracking and visualizing headache trends on a mobile or desktop website.
[So] Source:Stud Health Technol Inform;192:1199, 2013.
[Is] ISSN:0926-9630
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:Many people suffering from chronic headaches use headache diaries to help track trends in their episodes. Studies have shown that electronic headache diaries are more effective than paper diaries for both patients and providers. We designed and implemented a full-size and mobile Web-based headache tracker and a database management system to store the data from the websites. The full-size website allows users to retrieve their data by viewing or downloading a table of the raw values they entered, or they can see a graphical visualization linking the severity of their headaches to any of several variables. Through this system's capacity to illustrate trends and track contributing factors for headaches, users, researchers and health service providers may gain better understanding of and control over chronic headaches.
[Mh] Termos MeSH primário: Gráficos por Computador
Transtornos da Cefaleia/classificação
Armazenamento e Recuperação da Informação/métodos
Internet
Aplicativos Móveis
Telemedicina/métodos
Interface Usuário-Computador
[Mh] Termos MeSH secundário: Dicionários Médicos
Registros Eletrônicos de Saúde
Transtornos da Cefaleia/diagnóstico
Registros de Saúde Pessoal
Seres Humanos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1504
[Cu] Atualização por classe:130807
[Lr] Data última revisão:
130807
[Sb] Subgrupo de revista:T
[Da] Data de entrada para processamento:130808
[St] Status:MEDLINE


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[PMID]:23823392
[Au] Autor:Neururer SB; Pfeiffer KP
[Ad] Endereço:Department of Medical Statistics, Informatics and Health Economics, Innsbruck Medical University, Innsbruck, Austria.
[Ti] Título:Proposal for a new content model for the Austrian Procedure Catalogue.
[So] Source:Stud Health Technol Inform;190:109-11, 2013.
[Is] ISSN:0926-9630
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:The Austrian Procedure Catalogue is used for procedure coding in Austria. Its architecture and content has some major weaknesses. The aim of this study is the presentation of a new potential content model for this classification system consisting of main characteristics of health interventions. It is visualized using a UML class diagram. Based on this proposition, an implementation of an ontology for procedure coding is planned.
[Mh] Termos MeSH primário: Catálogos como Assunto
Codificação Clínica/métodos
Dicionários Médicos
Modelos Teóricos
Processamento de Linguagem Natural
Terminologia como Assunto
Interface Usuário-Computador
[Mh] Termos MeSH secundário: Algoritmos
Inteligência Artificial
Áustria
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1405
[Cu] Atualização por classe:130704
[Lr] Data última revisão:
130704
[Sb] Subgrupo de revista:T
[Da] Data de entrada para processamento:130705
[St] Status:MEDLINE


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[PMID]:23703825
[Au] Autor:Eriksson R; Jensen PB; Frankild S; Jensen LJ; Brunak S
[Ad] Endereço:Department of Disease Systems Biology, Faculty of Health and Medical Sciences, NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
[Ti] Título:Dictionary construction and identification of possible adverse drug events in Danish clinical narrative text.
[So] Source:J Am Med Inform Assoc;20(5):947-53, 2013 Sep-Oct.
[Is] ISSN:1527-974X
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: Drugs have tremendous potential to cure and relieve disease, but the risk of unintended effects is always present. Healthcare providers increasingly record data in electronic patient records (EPRs), in which we aim to identify possible adverse events (AEs) and, specifically, possible adverse drug events (ADEs). MATERIALS AND METHODS: Based on the undesirable effects section from the summary of product characteristics (SPC) of 7446 drugs, we have built a Danish ADE dictionary. Starting from this dictionary we have developed a pipeline for identifying possible ADEs in unstructured clinical narrative text. We use a named entity recognition (NER) tagger to identify dictionary matches in the text and post-coordination rules to construct ADE compound terms. Finally, we apply post-processing rules and filters to handle, for example, negations and sentences about subjects other than the patient. Moreover, this method allows synonyms to be identified and anatomical location descriptions can be merged to allow appropriate grouping of effects in the same location. RESULTS: The method identified 1 970 731 (35 477 unique) possible ADEs in a large corpus of 6011 psychiatric hospital patient records. Validation was performed through manual inspection of possible ADEs, resulting in precision of 89% and recall of 75%. DISCUSSION: The presented dictionary-building method could be used to construct other ADE dictionaries. The complication of compound words in Germanic languages was addressed. Additionally, the synonym and anatomical location collapse improve the method. CONCLUSIONS: The developed dictionary and method can be used to identify possible ADEs in Danish clinical narratives.
[Mh] Termos MeSH primário: Mineração de Dados/métodos
Dicionários Médicos
Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos
Registros Eletrônicos de Saúde
[Mh] Termos MeSH secundário: Dinamarca
Seres Humanos
Narração
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1312
[Cu] Atualização por classe:150426
[Lr] Data última revisão:
150426
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:130525
[St] Status:MEDLINE
[do] DOI:10.1136/amiajnl-2013-001708


  10 / 273 MEDLINE  
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[PMID]:23635601
[Au] Autor:Vandenbussche PY; Cormont S; André C; Daniel C; Delahousse J; Charlet J; Lepage E
[Ad] Endereço:Mondeca, Paris, France.
[Ti] Título:Implementation and management of a biomedical observation dictionary in a large healthcare information system.
[So] Source:J Am Med Inform Assoc;20(5):940-6, 2013 Sep-Oct.
[Is] ISSN:1527-974X
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: This study shows the evolution of a biomedical observation dictionary within the Assistance Publique Hôpitaux Paris (AP-HP), the largest European university hospital group. The different steps are detailed as follows: the dictionary creation, the mapping to logical observation identifier names and codes (LOINC), the integration into a multiterminological management platform and, finally, the implementation in the health information system. METHODS: AP-HP decided to create a biomedical observation dictionary named AnaBio, to map it to LOINC and to maintain the mapping. A management platform based on methods used for knowledge engineering has been put in place. It aims at integrating AnaBio within the health information system and improving both the quality and stability of the dictionary. RESULTS: This new management platform is now active in AP-HP. The AnaBio dictionary is shared by 120 laboratories and currently includes 50 000 codes. The mapping implementation to LOINC reaches 40% of the AnaBio entries and uses 26% of LOINC records. The results of our work validate the choice made to develop a local dictionary aligned with LOINC. DISCUSSION AND CONCLUSIONS: This work constitutes a first step towards a wider use of the platform. The next step will support the entire biomedical production chain, from the clinician prescription, through laboratory tests tracking in the laboratory information system to the communication of results and the use for decision support and biomedical research. In addition, the increase in the mapping implementation to LOINC ensures the interoperability allowing communication with other international health institutions.
[Mh] Termos MeSH primário: Dicionários Médicos
Sistemas de Informação em Saúde
[Mh] Termos MeSH secundário: Europa (Continente)
Logical Observation Identifiers Names and Codes
Vocabulário Controlado
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1312
[Cu] Atualização por classe:150427
[Lr] Data última revisão:
150427
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:130503
[St] Status:MEDLINE
[do] DOI:10.1136/amiajnl-2012-001410



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