نتایج جستجو برای: medicine clinical terms

تعداد نتایج: 1812741  

2016
Stefan Schulz Daniel Karlsson

for dissemination) Deliverable 2.4 introduces the notion of user interface terminologies in contrast to reference terminologies. Three terminology settings (SNOMED CT against an alternative, UMLS-derived hybrid terminology and a local terminology collection), are analysed under user interface terminology aspects. It investigated the coverage of such interface terms in these three terminology sc...

Journal: :Methods of information in medicine 2015
I Berges J Bermudez A Illarramendi

INTRODUCTION This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems". BACKGROUND The proliferation of archetypes as a means to represent information of Electronic Health Records has raised the need of binding terminological codes - such as SNOMED CT codes - to their elements, in order to identify them univoc...

2010
Tayeb Merabti Julien Grosjean Hocine Abdoune Michel Joubert Stefan Darmoni

Terminology mapping is an important and crucial task to improve semantic interoperability between health care applications and resources. In 2009, CISMeF created a Health Multi-Terminological Portal (HMTP) to search concepts among all the health terminologies available in French (or in English and translated in French) included in this portal and to browse it dynamically. To map terminologies i...

2010
Yue Kimi Sun Anthony Nguyen Laurianne Sitbon Shlomo Geva

A rule-based approach for classifying previously identified medical concepts in the clinical free text into an assertion category is presented.There are six different categories of assertions for the task: Present, Absent, Possible, Conditional, Hypothetical and Not associated with the patient. The assertion classification algorithms were largely based on extending the popular NegEx and Context...

2010
Tara Sampalli Michael Shepherd Jack Duffy Roy Fox

OBJECTIVE To determine the content coverage in SNOMED CT to represent the multidisciplinary terms and concepts in the domain for complex chronic conditions. METHODS An evaluation of the coverage of multidisciplinary health factors in SNOMED CT for the complex and chronic condition, multiple chemical sensitivity (MCS) is conducted in the study. The methodology included a retrospective audit of...

Journal: :Studies in health technology and informatics 2007
Josef Ingenerf Siegfried J. Pöppl

The need of biomedical vocabularies is well known for various tasks, e.g., supporting structured data entry, decision support and electronic data exchange as well as retrieval and statistical evaluation of the data. Due to a considerable diversity of artifacts like interface terminologies, classifications and thesauri it seems to be reasonable to demand for a massive reduction and, finally, to ...

Journal: :Applied clinical informatics 2011
G Wade

OBJECTIVE To implement the SNOMED CT electronic specifications for reporting quality measures and to identify critical issues that affect implementation. BACKGROUND The Centers for Medicare and Medicaid (CMS) have issued the electronic specifications for reporting quality measures requiring vendors and hospital systems to use standardized data elements to provide financial incentives for elig...

Journal: :Journal of the American Medical Informatics Association : JAMIA 2014
Dennis Lee Nicolette de Keizer Francis Lau Ronald Cornet

OBJECTIVE The aim of this paper is to report on the use of the systematised nomenclature of medicine clinical terms (SNOMED CT) by providing an overview of published papers. METHODS Published papers on SNOMED CT between 2001 and 2012 were identified using PubMed and Embase databases using the keywords 'systematised nomenclature of medicine' and 'SNOMED CT'. For each paper the following charac...

Journal: :AMIA ... Annual Symposium proceedings. AMIA Symposium 2012
James Geller Christopher Ochs Yehoshua Perl Junchuan Xu

Medical terminologies are large and complex. Frequently, errors are hidden in this complexity. Our objective is to find such errors, which can be aided by deriving abstraction networks from a large terminology. Abstraction networks preserve important features but eliminate many minor details, which are often not useful for identifying errors. Providing visualizations for such abstraction networ...

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