Archetype-Based Semantic Integration and Standardization of Clinical Data

@inproceedings{citeulike:1930696, 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}, author = {Moner, David and Maldonado, Jose A. and Bosca, Diego and Fernandez, Jesualdo T. and Angulo, Carlos and Crespo, Pere and Vivancos, Pedro J. and Robles, Montserrat }, booktitle = {Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE}, citeulike-article-id = {1930696}, journal = {Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE}, keywords = {bio-ontologies}, pages = {5141--5144}, posted-at = {2007-11-17 15:31:29}, priority = {2}, title = {Archetype-Based Semantic Integration and Standardization of Clinical Data}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=4029275}, year = {2006} }

TY - CONF ID - citeulike:1930696 L3 - citeulike-article-id:1930696 TI - Archetype-Based Semantic Integration and Standardization of Clinical Data T2 - Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE JF - Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE SP - 5141 EP - 5144 N2 - 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 KW - bio-ontologies AU - Moner, David AU - Maldonado, Jose AU - Bosca, Diego AU - Fernandez, Jesualdo AU - Angulo, Carlos AU - Crespo, Pere AU - Vivancos, Pedro AU - Robles, Montserrat PY - 2006/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4029275 ER -