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Journal of the American Medical Informatics Association 7:333-342 (2000)
© 2000 American Medical Informatics Association

White Paper

Toward Vocabulary Domain Specifications for Health Level 7—coded Data Elements

Suzanne Bakken, RN, DNSc, Keith E. Campbell, MD, PhD, James J. Cimino, MD, Stanley M. Huff, MD and W. Ed Hammond, PhD

Affiliations of the authors: Columbia University, New York, New York (SB, JJC); The Permanente Medical Group, Oakland, California (KEC); Intermountain Health Care, Salt Lake City, Utah (SMH); Duke University, Durham, North Carolina (WEH).

Correspondence and reprints: Suzanne Bakken, RN, DNSc, School of Nursing, Columbia University, New York, NY 10032; e-mail: <suh7001{at}flux.cpmc.columbia.edu>.

Abstract The "vocabulary problem" has long plagued the developers, implementers, and users of computer-based systems. The authors review selected activities of the Health Level 7 (HL7) Vocabulary Technical Committee that are related to vocabulary domain specification for HL7 coded data elements. These activities include: 1) the development of two sets of principles to provide guidance to terminology stakeholders, including organizations seeking to deploy HL7-compliant systems, terminology developers, and terminology integrators; 2) the completion of a survey of terminology developers; 3) the development of a process for HL7 registration of terminologies; and 4) the maintenance of vocabulary domain specification tables. As background, vocabulary domain specification is defined and the relationship between the HL7 Reference Information Model and vocabulary domain specification is described. The activities of the Vocabulary Technical Committee complement the efforts of terminology developers and other stakeholders. These activities are aimed at realizing semantic interoperability in the context of the HL7 Message Development Framework, so that information exchange and use among disparate systems can occur for the delivery and management of direct clinical care as well as for purposes such as clinical research, outcome research, and population health management.




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