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. 2010 Nov 13:2010:377-81.

Multi-National, Multi-Institutional Analysis of Clinical Decision Support Data Needs to Inform Development of the HL7 Virtual Medical Record Standard

Kensaku Kawamoto  1 , Guilherme Del Fiol, Howard R Strasberg, Nathan Hulse, Clayton Curtis, James J Cimino, Beatriz H Rocha, Saverio Maviglia, Emory Fry, Harm J Scherpbier, Vojtech Huser, Patrick K Redington, David K Vawdrey, Jean-Charles Dufour, Morgan Price, Jens H Weber, Thomas White, Kevin S Hughes, James C McClay, Carla Wood, Karen Eckert, Scott Bolte, David Shields, Peter R Tattam, Peter Scott, Zhijing Liu, Andrew K McIntyre
Affiliations

Multi-National, Multi-Institutional Analysis of Clinical Decision Support Data Needs to Inform Development of the HL7 Virtual Medical Record Standard

Kensaku Kawamoto et al. AMIA Annu Symp Proc. .

Abstract

An important barrier to the widespread dissemination of clinical decision support (CDS) is the heterogeneity of information models and terminologies used across healthcare institutions, health information systems, and CDS resources such as knowledge bases. To address this problem, the Health Level 7 (HL7) Virtual Medical Record project (an open, international standards development effort) is developing community consensus on the clinical information exchanged between CDS engines and clinical information systems. As a part of this effort, the HL7 CDS Work Group embarked on a multinational, collaborative effort to identify a representative set of clinical data elements required for CDS. Based on an analysis of CDS systems from 20 institutions representing 4 nations, 131 data elements were identified as being currently utilized for CDS. These findings will inform the development of the emerging HL7 Virtual Medical Record standard and will facilitate the achievement of scalable, standards-based CDS.

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Figures

Figure 1.
Figure 1.
Data element usage pattern across CDS systems.
See this image and copyright information in PMC

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