Base de dados : MEDLINE
Pesquisa : L01.453.245.945 [Categoria DeCS]
Referências encontradas : 3292 [refinar]
Mostrando: 1 .. 10   no formato [Detalhado]

página 1 de 330 ir para página                         

  1 / 3292 MEDLINE  
              next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:28451691
[Au] Autor:Zvára K; Tomecková M; Peleska J; Svátek V; Zvárová J
[Ti] Título:Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.
[So] Source:Methods Inf Med;56(3):217-229, 2017 May 18.
[Is] ISSN:2511-705X
[Cp] País de publicação:Germany
[La] Idioma:eng
[Ab] Resumo:OBJECTIVES: Our main objective is to design a method of, and supporting software for, interactive correction and semantic annotation of narrative clinical reports, which would allow for their easier and less erroneous processing outside their original context: first, by physicians unfamiliar with the original language (and possibly also the source specialty), and second, by tools requiring structured information, such as decision-support systems. Our additional goal is to gain insights into the process of narrative report creation, including the errors and ambiguities arising therein, and also into the process of report annotation by clinical terms. Finally, we also aim to provide a dataset of ground-truth transformations (specific for Czech as the source language), set up by expert physicians, which can be reused in the future for subsequent analytical studies and for training automated transformation procedures. METHODS: A three-phase preprocessing method has been developed to support secondary use of narrative clinical reports in electronic health record. Narrative clinical reports are narrative texts of healthcare documentation often stored in electronic health records. In the first phase a narrative clinical report is tokenized. In the second phase the tokenized clinical report is normalized. The normalized clinical report is easily readable for health professionals with the knowledge of the language used in the narrative clinical report. In the third phase the normalized clinical report is enriched with extracted structured information. The final result of the third phase is a semi-structured normalized clinical report where the extracted clinical terms are matched to codebook terms. Software tools for interactive correction, expansion and semantic annotation of narrative clinical reports has been developed and the three-phase preprocessing method validated in the cardiology area. RESULTS: The three-phase preprocessing method was validated on 49 anonymous Czech narrative clinical reports in the field of cardiology. Descriptive statistics from the database of accomplished transformations has been calculated. Two cardiologists participated in the annotation phase. The first cardiologist annotated 1500 clinical terms found in 49 narrative clinical reports to codebook terms using the classification systems ICD 10, SNOMED CT, LOINC and LEKY. The second cardiologist validated annotations of the first cardiologist. The correct clinical terms and the codebook terms have been stored in a database. CONCLUSIONS: We extracted structured information from Czech narrative clinical reports by the proposed three-phase preprocessing method and linked it to electronic health records. The software tool, although generic, is tailored for Czech as the specific language of electronic health record pool under study. This will provide a potential etalon for porting this approach to dozens of other less-spoken languages. Structured information can support medical decision making, quality assurance tasks and further medical research.
[Mh] Termos MeSH primário: Registros Eletrônicos de Saúde/normas
Aprendizado de Máquina
Processamento de Linguagem Natural
Semântica
Vocabulário Controlado
Processamento de Texto/normas
Redação/normas
[Mh] Termos MeSH secundário: Acurácia dos Dados
Guias como Assunto
Classificação Internacional de Doenças
Uso Significativo/normas
Software
Interface Usuário-Computador
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170429
[St] Status:MEDLINE
[do] DOI:10.3414/ME16-01-0083


  2 / 3292 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:28464923
[Au] Autor:Zhang R; Liu J; Huang Y; Wang M; Shi Q; Chen J; Zeng Z
[Ad] Endereço:Department of Medical Informatics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
[Ti] Título:Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes.
[So] Source:BMC Med Inform Decis Mak;17(1):54, 2017 05 02.
[Is] ISSN:1472-6947
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: It has been shown that the entities in everyday clinical text are often expressed in a way that varies from how they are expressed in the nomenclature. Owing to lots of synonyms, abbreviations, medical jargons or even misspellings in the daily used physician notes in clinical information system (CIS), the terminology without enough synonyms may not be adequately suitable for the task of Chinese clinical term recognition. METHODS: This paper demonstrates a validated system to retrieve the Chinese term of clinical finding (CTCF) from CIS and map them to the corresponding concepts of international clinical nomenclature, such as SNOMED CT. The system focuses on the SNOMED CT with Chinese synonyms enrichment (SCCSE). The literal similarity and the diagnosis-related similarity metrics were used for concept mapping. Two CTCF recognition methods, the rule- and terminology-based approach (RTBA) and the conditional random field machine learner (CRF), were adopted to identify the concepts in physician notes. The system was validated against the history of present illness annotated by clinical experts. The RTBA and CRF could be combined to predict new CTCFs besides SCCSE persistently. RESULTS: Around 59,000 CTCF candidates were accepted as valid and 39,000 of them occurred at least once in the history of present illness. 3,729 of them were accordant with the description in referenced Chinese clinical nomenclature, which could cross map to other international nomenclature such as SNOMED CT. With the hybrid similarity metrics, another 7,454 valid CTCFs (synonyms) were succeeded in concept mapping. For CTCF recognition in physician notes, a series of experiments were performed to find out the best CRF feature set, which gained an F-score of 0.887. The RTBA achieved a better F-score of 0.919 by the CTCF dictionary created in this research. CONCLUSIONS: This research demonstrated that it is feasible to help the SNOMED CT with Chinese synonyms enrichment based on physician notes in CIS. With continuous maintenance of SCCSE, the CTCFs could be precisely retrieved from free text, and the CTCFs arranged in semantic hierarchy of SNOMED CT could greatly improve the meaningful use of electronic health record in China. The methodology is also useful for clinical synonyms enrichment in other languages.
[Mh] Termos MeSH primário: Registros Eletrônicos de Saúde
Internacionalidade
Semântica
Vocabulário Controlado
[Mh] Termos MeSH secundário: Algoritmos
China
Seres Humanos
Systematized Nomenclature of Medicine
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180217
[Lr] Data última revisão:
180217
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170504
[St] Status:MEDLINE
[do] DOI:10.1186/s12911-017-0455-z


  3 / 3292 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:29023519
[Au] Autor:Pfaff CT; Eichenberg D; Liebergesell M; König-Ries B; Wirth C
[Ad] Endereço:Department of Special Botany and Functional Biodiversity, University of Leipzig, Germany.
[Ti] Título:Essential Annotation Schema for Ecology (EASE)-A framework supporting the efficient data annotation and faceted navigation in ecology.
[So] Source:PLoS One;12(10):e0186170, 2017.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Ecology has become a data intensive science over the last decades which often relies on the reuse of data in cross-experimental analyses. However, finding data which qualifies for the reuse in a specific context can be challenging. It requires good quality metadata and annotations as well as efficient search strategies. To date, full text search (often on the metadata only) is the most widely used search strategy although it is known to be inaccurate. Faceted navigation is providing a filter mechanism which is based on fine granular metadata, categorizing search objects along numeric and categorical parameters relevant for their discovery. Selecting from these parameters during a full text search creates a system of filters which allows to refine and improve the results towards more relevance. We developed a framework for the efficient annotation and faceted navigation in ecology. It consists of an XML schema for storing the annotation of search objects and is accompanied by a vocabulary focused on ecology to support the annotation process. The framework consolidates ideas which originate from widely accepted metadata standards, textbooks, scientific literature, and vocabularies as well as from expert knowledge contributed by researchers from ecology and adjacent disciplines.
[Mh] Termos MeSH primário: Curadoria de Dados/métodos
Ecologia
[Mh] Termos MeSH secundário: Internet
Vocabulário Controlado
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171024
[Lr] Data última revisão:
171024
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171013
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0186170


  4 / 3292 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:28877012
[Au] Autor:Halamka JD; Tripathi M
[Ad] Endereço:From Beth Israel Deaconess Medical Center and Harvard Medical School, Boston (J.D.H.), and the Massachusetts eHealth Collaborative, Waltham (M.T.) - both in Massachusetts.
[Ti] Título:The HITECH Era in Retrospect.
[So] Source:N Engl J Med;377(10):907-909, 2017 Sep 07.
[Is] ISSN:1533-4406
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: American Recovery and Reinvestment Act
Regulamentação Governamental
Uso Significativo/legislação & jurisprudência
Informática Médica/legislação & jurisprudência
[Mh] Termos MeSH secundário: Sistemas Computadorizados de Registros Médicos/utilização
Reembolso de Incentivo
Integração de Sistemas
Estados Unidos
Vocabulário Controlado
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170918
[Lr] Data última revisão:
170918
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:170907
[St] Status:MEDLINE
[do] DOI:10.1056/NEJMp1709851


  5 / 3292 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:28760517
[Au] Autor:Zegers-Hochschild F; Adamson GD; Dyer S; Racowsky C; de Mouzon J; Sokol R; Rienzi L; Sunde A; Schmidt L; Cooke ID; Simpson JL; van der Poel S
[Ad] Endereço:University Diego Portales, Program of Ethics and Public Policies in Human Reproduction; Clinica las Condes, Unit of Reproductive Medicine, Santiago, Chile. Electronic address: icmart@icsevents.com.
[Ti] Título:The International Glossary on Infertility and Fertility Care, 2017.
[So] Source:Fertil Steril;108(3):393-406, 2017 Sep.
[Is] ISSN:1556-5653
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:STUDY QUESTION: Can a consensus and evidence-driven set of terms and definitions be generated to be used globally in order to ensure consistency when reporting on infertility issues and fertility care interventions, as well as to harmonize communication among the medical and scientific communities, policy-makers, and lay public including individuals and couples experiencing fertility problems? SUMMARY ANSWER: A set of 283 consensus-based and evidence-driven terminologies used in infertility and fertility care has been generated through an inclusive consensus-based process with multiple stakeholders. WHAT IS KNOWN ALREADY: In 2006 the International Committee for Monitoring Assisted Reproductive Technologies (ICMART) published a first glossary of 53 terms and definitions. In 2009 ICMART together with WHO published a revised version expanded to 87 terms, which defined infertility as a disease of the reproductive system, and increased standardization of fertility treatment terminology. Since 2009, limitations were identified in several areas and enhancements were suggested for the glossary, especially concerning male factor, demography, epidemiology and public health issues. STUDY DESIGN, SIZE, DURATION: Twenty-five professionals, from all parts of the world and representing their expertise in a variety of sub-specialties, were organized into five working groups: clinical definitions; outcome measurements; embryology laboratory; clinical and laboratory andrology; and epidemiology and public health. Assessment for revisions, as well as expansion on topics not covered by the previous glossary, were undertaken. A larger group of independent experts and representatives from collaborating organizations further discussed and assisted in refining all terms and definitions. PARTICIPANTS/MATERIALS, SETTING, METHODS: Members of the working groups and glossary co-ordinators interacted through electronic mail and face-to-face in international/regional conferences. Two formal meetings were held in Geneva, Switzerland, with a final consensus meeting including independent experts as well as observers and representatives of international/regional scientific and patient organizations. MAIN RESULTS AND THE ROLE OF CHANCE: A consensus-based and evidence-driven set of 283 terminologies used in infertility and fertility care was generated to harmonize communication among health professionals and scientists as well as the lay public, patients and policy makers. Definitions such as 'fertility care' and 'fertility awareness' together with terminologies used in embryology and andrology have been introduced in the glossary for the first time. Furthermore, the definition of 'infertility' has been expanded in order to cover a wider spectrum of conditions affecting the capacity of individuals and couples to reproduce. The definition of infertility remains as a disease characterized by the failure to establish a clinical pregnancy; however, it also acknowledges that the failure to become pregnant does not always result from a disease, and therefore introduces the concept of an impairment of function which can lead to a disability. Additionally, subfertility is now redundant, being replaced by the term infertility so as to standardize the definition and avoid confusion. LIMITATIONS, REASONS FOR CAUTION: All stakeholders agreed to the vast majority of terminologies included in this glossary. In cases where disagreements were not resolved, the final decision was reached after a vote, defined before the meeting as consensus if passed with 75%. Over the following months, an external expert group, which included representatives from non-governmental organizations, reviewed and provided final feedback on the glossary. WIDER IMPLICATIONS OF THE FINDINGS: Some terminologies have different definitions, depending on the area of medicine, for example demographic or clinical as well as geographic differences. These differences were taken into account and this glossary represents a multinational effort to harmonize terminologies that should be used worldwide. STUDY FUNDING/COMPETING INTERESTS: None. TRIAL REGISTRATION NUMBER: N/A.
[Mh] Termos MeSH primário: Dicionários como Assunto
Infertilidade/classificação
Infertilidade/terapia
Guias de Prática Clínica como Assunto
Medicina Reprodutiva/normas
Técnicas de Reprodução Assistida/classificação
Terminologia como Assunto
[Mh] Termos MeSH secundário: Seres Humanos
Internacionalidade
Vocabulário Controlado
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170929
[Lr] Data última revisão:
170929
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170802
[St] Status:MEDLINE


  6 / 3292 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
[PMID]:28423790
[Au] Autor:Dziadek J; Henriksson A; Duneld M
[Ad] Endereço:Department of Computer and Systems Sciences, Stockholm University.
[Ti] Título:Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction.
[So] Source:Stud Health Technol Inform;235:241-245, 2017.
[Is] ISSN:0926-9630
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling correction methods to Swedish medical text and evaluate their impact on SNOMED CT mapping; first in a controlled evaluation using medical literature text with induced errors, followed by a partial evaluation on clinical notes. It is shown that the best-performing method is context-sensitive, taking into account trigram frequencies and utilizing a corpus-based dictionary.
[Mh] Termos MeSH primário: Registros Eletrônicos de Saúde/organização & administração
Processamento de Linguagem Natural
Systematized Nomenclature of Medicine
[Mh] Termos MeSH secundário: Algoritmos
Uso Significativo
Garantia da Qualidade dos Cuidados de Saúde/métodos
Suécia
Vocabulário Controlado
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171020
[Lr] Data última revisão:
171020
[Sb] Subgrupo de revista:T
[Da] Data de entrada para processamento:170421
[St] Status:MEDLINE


  7 / 3292 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
[PMID]:28423768
[Au] Autor:Cabot C; Soualmia LF; Grosjean J; Griffon N; Darmoni SJ
[Ad] Endereço:Normandie Univ., TIBS - LITIS EA 4108, Rouen University and Hospital, France.
[Ti] Título:Evaluation of the Terminology Coverage in the French Corpus LiSSa.
[So] Source:Stud Health Technol Inform;235:126-130, 2017.
[Is] ISSN:0926-9630
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:Extracting concepts from medical texts is a key to support many advanced applications in medical information retrieval. Entity recognition in French texts is moreover challenged by the availability of many resources originally developed for English texts. This paper proposes an evaluation of the terminology coverage in a corpus of 50,000 French articles extracted from the bibliographic database LiSSa. This corpus was automatically indexed with 32 health terminologies, published in French or translated. Then, the terminologies providing the best coverage of these documents were determined. The results show that major resources such as the NCI and SNOMED CT thesauri achieve the largest annotation of the corpus while specific French resources prove to be valuable assets.
[Mh] Termos MeSH primário: Bases de Dados Bibliográficas
Processamento de Linguagem Natural
Vocabulário Controlado
[Mh] Termos MeSH secundário: Armazenamento e Recuperação da Informação/métodos
Linguagem
Systematized Nomenclature of Medicine
Tradução
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171017
[Lr] Data última revisão:
171017
[Sb] Subgrupo de revista:T
[Da] Data de entrada para processamento:170421
[St] Status:MEDLINE


  8 / 3292 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:28146449
[Au] Autor:McIvor WR; Banerjee A; Boulet JR; Bekhuis T; Tseytlin E; Torsher L; DeMaria S; Rask JP; Shotwell MS; Burden A; Cooper JB; Gaba DM; Levine A; Park C; Sinz E; Steadman RH; Weinger MB
[Ad] Endereço:From the Department of Anesthesiology, University of Pittsburgh Medical Center and the Winter Institute for Simulation Education and Research (WISER), Pittsburgh, PA (W.R.M.); The Division of Anesthesiology Critical Care Medicine, Department of Anesthesiology, Vanderbilt University School of Medicine, Nashville, TN (A.B.); Research and Data Resources, Foundation for Advancement of International Medical Education and Research, Philadelphia, PA (J.R.B.); Department of Biomedical Informatics, University of Pittsburgh School of Medicine; and Department of Dental Public Health, University of Pittsburgh School of Dental Medicine, Pittsburgh, PA (T.B.); Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA (E.T.); Department of Anesthesiology, The Mayo Clinic, Rochester, MN (L.T.); Anesthesiology, Icahn School of Medicine at the Mt Sinai Medical Center, New York City, NY (S.DM.); Department of Anesthesiology and Critical Care Medicine, and UNM BATCAVE Simulation Center, University of New Mexico School of Medicine, Albuquerque, NM (J.P.R.); Department of Biostatistics, Vanderbilt University, Nashville, TN (M.S.S.); Clinical Skills and Simulation, Cooper Medical School of Rowan University, Cooper University Hospital, Camden, NJ (A.B.); Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, and Center for Medical Simulation, Boston, MA (J.C) Immersive Learning, Stanford University, Stanford, CA; and VA Palo Alto, Palo Alto, CA (D.M.G.); Department of Anesthesiology, Icahn School of Medicine at the Mt Sinai Medical Center, New York City, NY (A.L.); Department of Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.P.); Department of Anesthesiology and Neurosurgery, Pennsylvania State University College of Medicine, Hershey, PA (E.S.); Anesthesiology Department, University of California, Los Angeles, CA (R.S.); and Center for Research and Innovation in Systems Safety, Institute for Medicine and Public Health, Vanderbilt University; Geriatric Research, Education, and Clinical Center (GRECC); VA Tennessee Valley Healthcare System; and Anesthesiology, Biomedical Informatics, and Medical Education, Vanderbilt University School of Medicine, Nashville, TN (M.B.W.).
[Ti] Título:A Taxonomy of Delivery and Documentation Deviations During Delivery of High-Fidelity Simulations.
[So] Source:Simul Healthc;12(1):1-8, 2017 Feb.
[Is] ISSN:1559-713X
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:INTRODUCTION: We developed a taxonomy of simulation delivery and documentation deviations noted during a multicenter, high-fidelity simulation trial that was conducted to assess practicing physicians' performance. Eight simulation centers sought to implement standardized scenarios over 2 years. Rules, guidelines, and detailed scenario scripts were established to facilitate reproducible scenario delivery; however, pilot trials revealed deviations from those rubrics. A taxonomy with hierarchically arranged terms that define a lack of standardization of simulation scenario delivery was then created to aid educators and researchers in assessing and describing their ability to reproducibly conduct simulations. METHODS: Thirty-six types of delivery or documentation deviations were identified from the scenario scripts and study rules. Using a Delphi technique and open card sorting, simulation experts formulated a taxonomy of high-fidelity simulation execution and documentation deviations. The taxonomy was iteratively refined and then tested by 2 investigators not involved with its development. RESULTS: The taxonomy has 2 main classes, simulation center deviation and participant deviation, which are further subdivided into as many as 6 subclasses. Inter-rater classification agreement using the taxonomy was 74% or greater for each of the 7 levels of its hierarchy. Cohen kappa calculations confirmed substantial agreement beyond that expected by chance. All deviations were classified within the taxonomy. CONCLUSIONS: This is a useful taxonomy that standardizes terms for simulation delivery and documentation deviations, facilitates quality assurance in scenario delivery, and enables quantification of the impact of deviations upon simulation-based performance assessment.
[Mh] Termos MeSH primário: Documentação/classificação
Documentação/normas
Simulação de Paciente
[Mh] Termos MeSH secundário: Competência Clínica/normas
Técnica Delfos
Avaliação Educacional
Seres Humanos
Manequins
Vocabulário Controlado
[Pt] Tipo de publicação:JOURNAL ARTICLE; MULTICENTER STUDY
[Em] Mês de entrada:1708
[Cu] Atualização por classe:170810
[Lr] Data última revisão:
170810
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170202
[St] Status:MEDLINE
[do] DOI:10.1097/SIH.0000000000000184


  9 / 3292 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:28028203
[Au] Autor:Gipson DS; Kirkendall ES; Gumbs-Petty B; Quinn T; Steen A; Hicks A; McMahon A; Nicholas S; Zhao-Wong A; Taylor-Zapata P; Turner M; Herreshoff E; Jones C; Davis JM; Haber M; Hirschfeld S
[Ad] Endereço:Department of Pediatrics and Communicable Disease, University of Michigan, Ann Arbor, Michigan.
[Ti] Título:Development of a Pediatric Adverse Events Terminology.
[So] Source:Pediatrics;139(1), 2017 Jan.
[Is] ISSN:1098-4275
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:In 2009, the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) established the Pediatric Terminology Harmonization Initiative to establish a core library of terms to facilitate the acquisition and sharing of knowledge between pediatric clinical research, practice, and safety reporting. A coalition of partners established a Pediatric Terminology Adverse Event Working Group in 2013 to develop a specific terminology relevant to international pediatric adverse event (AE) reporting. Pediatric specialists with backgrounds in clinical care, research, safety reporting, or informatics, supported by biomedical terminology experts from the National Cancer Institute's Enterprise Vocabulary Services participated. The multinational group developed a working definition of AEs and reviewed concepts (terms, synonyms, and definitions) from 16 pediatric clinical domains. The resulting AE terminology contains >1000 pediatric diseases, disorders, or clinical findings. The terms were tested for proof of concept use in 2 different settings: hospital readmissions and the NICU. The advantages of the AE terminology include ease of adoption due to integration with well-established and internationally accepted biomedical terminologies, a uniquely temporal focus on pediatric health and disease from conception through adolescence, and terms that could be used in both well- and underresourced environments. The AE terminology is available for use without restriction through the National Cancer Institute's Enterprise Vocabulary Services and is fully compatible with, and represented in, the Medical Dictionary for Regulatory Activities. The terminology is intended to mature with use, user feedback, and optimization.
[Mh] Termos MeSH primário: Avaliação de Resultados (Cuidados de Saúde)/organização & administração
Pediatria
Terminologia como Assunto
Terapêutica/efeitos adversos
[Mh] Termos MeSH secundário: Criança
Seres Humanos
Recém-Nascido
Terapia Intensiva Neonatal
Cooperação Internacional
Vocabulário Controlado
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1706
[Cu] Atualização por classe:170626
[Lr] Data última revisão:
170626
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:161229
[St] Status:MEDLINE


  10 / 3292 MEDLINE  
              first record previous record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:27998685
[Au] Autor:Hangiandreou NJ; Stekel SF; Tradup DJ
[Ad] Endereço:Department of Radiology, Mayo Clinic, Rochester, Minnesota. Electronic address: hangiandreou@mayo.edu.
[Ti] Título:Comprehensive Clinical Implementation of DICOM Structured Reporting Across a Radiology Ultrasound Practice: Lessons Learned.
[So] Source:J Am Coll Radiol;14(2):298-300, 2017 02.
[Is] ISSN:1558-349X
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Documentação/normas
Guias de Prática Clínica como Assunto
Sistemas de Informação em Radiologia/normas
Radiologia/normas
Ultrassonografia/normas
Vocabulário Controlado
[Mh] Termos MeSH secundário: Fidelidade a Diretrizes
Estados Unidos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1709
[Cu] Atualização por classe:170914
[Lr] Data última revisão:
170914
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161222
[St] Status:MEDLINE



página 1 de 330 ir para página                         
   


Refinar a pesquisa
  Base de dados : MEDLINE Formulário avançado   

    Pesquisar no campo  
1  
2
3
 
           



Search engine: iAH v2.6 powered by WWWISIS

BIREME/OPAS/OMS - Centro Latino-Americano e do Caribe de Informação em Ciências da Saúde