Standardising clinical data elements

Meredith Nahm; Anita Walden; Brian McCourt; Karen Pieper; Emily Honeycutt; Carol D. Hamilton; Robert A. Harrington; Jane Diefenbach; Bron Kisler; Mead Walker; W. Ed Hammond

doi:10.1504/IJFIPM.2010.040213

Standardising clinical data elements

Meredith Nahm, Anita Walden, Brian McCourt, Karen Pieper, Emily Honeycutt, Carol D. Hamilton, Robert A. Harrington, Jane Diefenbach, Bron Kisler, Mead Walker, W. Ed Hammond

Resultado de la investigación: Article › revisión exhaustiva

8 Citas (Scopus)

Resumen

We report the development and implementation of a methodology for standardising clinical data elements. The methodology, piloted using Tuberculosis (TB) and Acute Coronary Syndromes (ACS) domains, relies on clinicians for natural language definitions and on informaticists for computable specifications. Data elements are represented using the ISO 11179 standard, UML class, and activity diagrams. Over 2000 candidate data elements were compiled for each domain. Initial sets of 21 data elements for ACS and 139 for TB, plus 300 valid values, were standardised and made publicly available. The methodology is now used in HL7 for data element definition in other clinical areas.

Idioma original	English (US)
Páginas (desde-hasta)	314-341
Número de páginas	28
Publicación	International Journal of Functional Informatics and Personalised Medicine
Volumen	3
N.º	4
DOI	https://doi.org/10.1504/IJFIPM.2010.040213
Estado	Published - 2010
Publicado de forma externa	Sí

ASJC Scopus subject areas

Clinical Neurology

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10.1504/IJFIPM.2010.040213

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abstract = "We report the development and implementation of a methodology for standardising clinical data elements. The methodology, piloted using Tuberculosis (TB) and Acute Coronary Syndromes (ACS) domains, relies on clinicians for natural language definitions and on informaticists for computable specifications. Data elements are represented using the ISO 11179 standard, UML class, and activity diagrams. Over 2000 candidate data elements were compiled for each domain. Initial sets of 21 data elements for ACS and 139 for TB, plus 300 valid values, were standardised and made publicly available. The methodology is now used in HL7 for data element definition in other clinical areas.",

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AU - Nahm, Meredith

AU - Walden, Anita

AU - McCourt, Brian

AU - Pieper, Karen

AU - Honeycutt, Emily

AU - Hamilton, Carol D.

AU - Harrington, Robert A.

AU - Diefenbach, Jane

AU - Kisler, Bron

AU - Walker, Mead

AU - Ed Hammond, W.

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AB - We report the development and implementation of a methodology for standardising clinical data elements. The methodology, piloted using Tuberculosis (TB) and Acute Coronary Syndromes (ACS) domains, relies on clinicians for natural language definitions and on informaticists for computable specifications. Data elements are represented using the ISO 11179 standard, UML class, and activity diagrams. Over 2000 candidate data elements were compiled for each domain. Initial sets of 21 data elements for ACS and 139 for TB, plus 300 valid values, were standardised and made publicly available. The methodology is now used in HL7 for data element definition in other clinical areas.

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KW - Domain analysis model

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Standardising clinical data elements

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ASJC Scopus subject areas

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