The Experts below are selected from a list of 10023 Experts worldwide ranked by ideXlab platform
Mead Walker - One of the best experts on this subject based on the ideXlab platform.
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Standardising clinical Data Elements
International Journal of Functional Informatics and Personalised Medicine, 2010Co-Authors: Meredith Nahm, Anita Walden, Brian J. Mccourt, Karen S. Pieper, Emily Honeycutt, Carol Dukes Hamilton, Robert A. Harrington, Jane Diefenbach, Bron Kisler, Mead WalkerAbstract: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.
Meredith Nahm - One of the best experts on this subject based on the ideXlab platform.
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Standardising clinical Data Elements
International Journal of Functional Informatics and Personalised Medicine, 2010Co-Authors: Meredith Nahm, Anita Walden, Brian J. Mccourt, Karen S. Pieper, Emily Honeycutt, Carol Dukes Hamilton, Robert A. Harrington, Jane Diefenbach, Bron Kisler, Mead WalkerAbstract: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.
Anita Walden - One of the best experts on this subject based on the ideXlab platform.
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Standardising clinical Data Elements
International Journal of Functional Informatics and Personalised Medicine, 2010Co-Authors: Meredith Nahm, Anita Walden, Brian J. Mccourt, Karen S. Pieper, Emily Honeycutt, Carol Dukes Hamilton, Robert A. Harrington, Jane Diefenbach, Bron Kisler, Mead WalkerAbstract: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.
Brian J. Mccourt - One of the best experts on this subject based on the ideXlab platform.
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Standardising clinical Data Elements
International Journal of Functional Informatics and Personalised Medicine, 2010Co-Authors: Meredith Nahm, Anita Walden, Brian J. Mccourt, Karen S. Pieper, Emily Honeycutt, Carol Dukes Hamilton, Robert A. Harrington, Jane Diefenbach, Bron Kisler, Mead WalkerAbstract: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.
Karen S. Pieper - One of the best experts on this subject based on the ideXlab platform.
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Standardising clinical Data Elements
International Journal of Functional Informatics and Personalised Medicine, 2010Co-Authors: Meredith Nahm, Anita Walden, Brian J. Mccourt, Karen S. Pieper, Emily Honeycutt, Carol Dukes Hamilton, Robert A. Harrington, Jane Diefenbach, Bron Kisler, Mead WalkerAbstract: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.
