Literature DB >> 19836194

Systematized Nomenclature of Medicine-Clinical Terms direction and its implications on critical care.

Reza Shahpori1, Christopher Doig.   

Abstract

PURPOSE: The aim of this study was to describe the new advancements in Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) terminology and its applicability to critical care documentation.
MATERIALS AND METHODS: Narrative review of existing literature published in indexed medical and health informatics journals and of gray literature available on the Internet and personal communication with authors and researchers engaged in SNOMED-CT projects related to critical care are conducted.
RESULTS: Systematized Nomenclature of Medicine-Clinical Terms is a system of comprehensive health and clinical terminology that covers most of the needs of health care documentation. It will potentially become the terminology of clinical enterprise and administrative information systems. Despite a ground swell of international support from health information management experts, the terminology remains unknown to most clinicians. We discuss the reasons why clinical familiarity with SNOMED-CT is an important prerequisite to proceeding with local or national electronic health records or clinical information systems.
CONCLUSIONS: We propose that SNOMED-CT is suitable for use in critical care; however, work is urgently required to validate the completeness of terminology and to determine clinicians' perceptions on the utility of such a standardized terminology for use in critical care clinical information systems. Copyright (c) 2010 Elsevier Inc. All rights reserved.

Mesh:

Year:  2009        PMID: 19836194     DOI: 10.1016/j.jcrc.2009.08.008

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  7 in total

1.  Derivation and validation of automated electronic search strategies to identify pertinent risk factors for postoperative acute lung injury.

Authors:  Anas Alsara; David O Warner; Guangxi Li; Vitaly Herasevich; Ognjen Gajic; Daryl J Kor
Journal:  Mayo Clin Proc       Date:  2011-05       Impact factor: 7.616

Review 2.  Pathway analysis for genome-wide genetic variation data: Analytic principles, latest developments, and new opportunities.

Authors:  Micah Silberstein; Nicholas Nesbit; Jacquelyn Cai; Phil H Lee
Journal:  J Genet Genomics       Date:  2021-02-26       Impact factor: 4.275

3.  Harmonized definition of occupational burnout: A systematic review, semantic analysis, and Delphi consensus in 29 countries.

Authors:  Irina Guseva Canu; Sandy Carla Marca; Francesca Dell'Oro; Ádám Balázs; Enrico Bergamaschi; Christine Besse; Renzo Bianchi; Jovanka Bislimovska; Adrijana Koscec Bjelajac; Merete Bugge; Carmen Iliana Busneag; Çiğdem Çağlayan; Mariana Cernițanu; Cristiana Costa Pereira; Nataša Dernovšček Hafner; Nadia Droz; Maija Eglite; Lode Godderis; Harald Gündel; Jari J Hakanen; Raluca Maria Iordache; Imane Khireddine-Medouni; Sibel Kiran; Francesca Larese-Filon; Catherine Lazor-Blanchet; Patrick Légeron; Tom Loney; Nicole Majery; Eda Merisalu; Ingrid Sivesind Mehlum; Laurent Michaud; Dragan Mijakoski; Jordan Minov; Alberto Modenese; Marija Molan; Henk van der Molen; Evangelia Nena; Dusan Nolimal; Marina Otelea; Elisabeta Pletea; Nurka Pranjic; David Rebergen; Jelena Reste; Eva Schernhammer; Anny Wahlen
Journal:  Scand J Work Environ Health       Date:  2020-12-01       Impact factor: 5.024

4.  Implementation of the CDC translational informatics platform--from genetic variants to the national Swedish Rheumatology Quality Register.

Authors:  Imad Abugessaisa; David Gomez-Cabrero; Omri Snir; Staffan Lindblad; Lars Klareskog; Vivianne Malmström; Jesper Tegnér
Journal:  J Transl Med       Date:  2013-04-02       Impact factor: 5.531

5.  Understanding the Acceptability of Subdermal Implants as a Possible New HIV Prevention Method: Multi-Stage Mixed Methods Study.

Authors:  Christine Tagliaferri Rael; Cody Lentz; Alex Carballo-Diéguez; Rebecca Giguere; Curtis Dolezal; Daniel Feller; Richard T D'Aquila; Thomas J Hope
Journal:  J Med Internet Res       Date:  2020-07-27       Impact factor: 5.428

6.  PrAna: an R package to calculate and visualize England NHS primary care prescribing data.

Authors:  Kishore Kumar Jagadeesan; James Grant; Sue Griffin; Ruth Barden; Barbara Kasprzyk-Hordern
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-06       Impact factor: 2.796

7.  Combining phenome-driven drug-target interaction prediction with patients' electronic health records-based clinical corroboration toward drug discovery.

Authors:  Mengshi Zhou; Chunlei Zheng; Rong Xu
Journal:  Bioinformatics       Date:  2020-07-01       Impact factor: 6.937

  7 in total

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