Literature DB >> 17883425

Will Systematized Nomenclature of Medicine-Clinical Terms improve our understanding of the disease burden posed by allergic disorders?

C R Simpson1, C Anandan, C Fischbacher, K Lefevre, A Sheikh.   

Abstract

Analysis of data collected through the use of high-quality computerized systems is vital if we are to understand the health burden from allergic disease. Coding systems currently used, such as the World Health Organization's International Classification of Diseases and the Read system, have however been criticized as being unduly restrictive and hence inadequate for the detailed coding of allergic problems. Greater granularity of coding can be achieved by using the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) system, which will be adopted by several countries including the United States and United Kingdom. Before the introduction of SNOMED-CT, it is important that several issues are resolved, including ensuring that adequate mapping occurs from existing systems, that the SNOMED-CT is trialled before general implementation, and that training is provided for users new to coding as part of their clinical practice. Of particular importance is that the allergy fraternity bring to light any gaps in allergy coding through the creation of a working group to advise the newly formed International Healthcare Terminology Standards Development Organisation. There is also a role for allergy experts, working in conjunction with government agencies and professional bodies, to determine a recommended set of codes, which will obviate some of the inevitable challenges raised by a very fluid coding structure for those wishing to undertake secondary analysis of health care datasets.

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Year:  2007        PMID: 17883425     DOI: 10.1111/j.1365-2222.2007.02830.x

Source DB:  PubMed          Journal:  Clin Exp Allergy        ISSN: 0954-7894            Impact factor:   5.018


  11 in total

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2.  Trends in the epidemiology of asthma in England: a national study of 333,294 patients.

Authors:  Colin R Simpson; Aziz Sheikh
Journal:  J R Soc Med       Date:  2010-03       Impact factor: 5.344

3.  Skin self-examinations and visual identification of atypical nevi: comparing individual and crowdsourcing approaches.

Authors:  Andy J King; Robert W Gehl; Douglas Grossman; Jakob D Jensen
Journal:  Cancer Epidemiol       Date:  2013-09-26       Impact factor: 2.984

4.  Trends in the epidemiology and prescribing of medication for eczema in England.

Authors:  Colin R Simpson; John Newton; Julia Hippisley-Cox; Aziz Sheikh
Journal:  J R Soc Med       Date:  2009-03       Impact factor: 5.344

5.  Epidemiology and disease burden from allergic disease in Scotland: analyses of national databases.

Authors:  C Anandan; R Gupta; C R Simpson; C Fischbacher; A Sheikh
Journal:  J R Soc Med       Date:  2009-10       Impact factor: 5.344

6.  Incidence and prevalence of multiple allergic disorders recorded in a national primary care database.

Authors:  Colin R Simpson; John Newton; Julia Hippisley-Cox; Aziz Sheikh
Journal:  J R Soc Med       Date:  2008-11       Impact factor: 5.344

7.  Coding of Electronic Laboratory Reports for Biosurveillance, Selected United States Hospitals, 2011.

Authors:  Sanjaya Dhakal; Sherry L Burrer; Carla A Winston; Achintya Dey; Umed Ajani; Samuel L Groseclose
Journal:  Online J Public Health Inform       Date:  2015-07-01

8.  Prediction of skin disease using a new cytological taxonomy based on cytology and pathology with deep residual learning method.

Authors:  Jin Bu; Yu Lin; Li-Qiong Qing; Gang Hu; Pei Jiang; Hai-Feng Hu; Er-Xia Shen
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

9.  Approaches to recording drug allergies in electronic health records: qualitative study.

Authors:  Bernard Fernando; Zoe Morrison; Dipak Kalra; Kathrin Cresswell; Aziz Sheikh
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

10.  Identifying patients with chronic widespread pain in primary care.

Authors:  Kathryn E Mansfield; Julius Sim; Peter Croft; Kelvin P Jordan
Journal:  Pain       Date:  2017-01       Impact factor: 7.926

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