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

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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.

Original language	English (US)
Pages (from-to)	314-341
Number of pages	28
Journal	International Journal of Functional Informatics and Personalised Medicine
Volume	3
Issue number	4
DOIs	https://doi.org/10.1504/IJFIPM.2010.040213
State	Published - 2010
Externally published	Yes

Keywords

Clinical definitions
Data elements
Domain analysis model
EMR
HL7
Interoperability
Standards

ASJC Scopus subject areas

Clinical Neurology

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10.1504/IJFIPM.2010.040213

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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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Standardising clinical data elements

Abstract

Keywords

ASJC Scopus subject areas

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