Paper Info
Title
Archetype-based semantic integration and standardization of clinical data.
Abstract
One of the basic needs for any healthcare professional is to be able to access to clinical information of patients in an understandable and normalized way. The lifelong clinical information of any person supported by electronic means configures his/her Electronic Health Record (EHR). This information is usually distributed among several independent and heterogeneous systems that may be syntactically or semantically incompatible. The Dual Model architecture has appeared as a new proposal for maintaining a homogeneous representation of the EHR with a clear separation between information and knowledge. Information is represented by a Reference Model which describes common data structures with minimal semantics. Knowledge is specified by archetypes, which are formal representations of clinical concepts built upon a particular Reference Model. This kind of architecture is originally thought for implantation of new clinical information systems, but archetypes can be also used for integrating data of existing and not normalized systems, adding at the same time a semantic meaning to the integrated data. In this paper we explain the possible use of a Dual Model approach for semantic integration and standardization of heterogeneous clinical data sources and present LinkEHR-Ed, a tool for developing archetypes as elements for integration purposes. LinkEHR-Ed has been designed to be easily used by the two main participants of the creation process of archetypes for clinical data integration: the Health domain expert and the Information Technologies domain expert.
Year
DOI
Venue
2006
10.1109/IEMBS.2006.260124
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Keywords
DocType
Volume
healthcare professional,medical information systems,health care,heterogeneous clinical data,health domain expert,linkehr-ed,clinical information,information technology domain expert,electronic health record,electronic data interchange,clinical data integration,archetype-based semantic integration,dual model architecture,medical computing,data structure,reference model,information technology,semantic integration
Conference
1
ISSN
ISBN
Citations 
1557-170X
1-4244-003303
6
PageRank 
References 
Authors
0.63
4
8
Name
Order
Citations
PageRank
David Moner112112.68
Jose A Maldonado260.63
Diego Boscá3989.19
Jesualdo T Fernandez460.63
Carlos Angulo5616.49
Pere Crespo660.63
Pedro J Vivancos760.63
Montserrat Robles8192.26