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Dissertations eBook from River Publishers

Bridging Centralized and Decentralized Clinical Modelling through Semantic Comparison Methods

Author: Kirstine Rosenbeck Gøeg, Medical Informatics Group, Department of Health Science and Technology, Aalborg University, Denmark


e-ISBN: 9788793237568

Price: € 0.00

Available: December 2014
Downloads: [883]

Downloads: [883] Reads [411]  

Description:

It is a challenge to customize electronic health record systems to clinical practice and at the same time standardize the documentation to allow information to be shared between different systems and organizations. E-health standardization has typically been a top-down approach, and consequently standardized terminologies and information models have been difficult to start using. The aim of this PhD-project has been to develop methods, which can be applied to make local clinical content useful in a standardization context. The project is based on clinical content from Danish and Swedish Electronic Health Records. This content has been harmonized to make it possible to systematically analyze similarities and differences in the clinical documentation in different organizations. Potentially, the methods developed can give an overview of what kind of semantic standardization will be feasible and beneficial to implement.


Keywords:

Bridging Centralized and Decentralized Clinical Modelling through Semantic Comparison Methods


List of Publications for PhD:

Balancing Centralised and Decentralised EHR Approaches to Manage Standardisation, Rosenbeck, KH., Rasmussen, AR., Elberg, PB. and Andersen, SK. Studies in health technology and informatics. 2010, Citations


SNOMED CT Implementation. Mapping guidelines facilitating reuse of data, Højen, AR. and Gøeg, KR. Methods of Information in Medicine. 2011, Citations


Semantic Krippendorff's α for measuring inter-rater agreement in SNOMED CT coding studies, Karlsson, D., Gøeg, KR., Örman, H. and Højen, AR. International Journal of Medical Informatics. 2014, Citations


Content analysis of physical examination templates in electronic health records using SNOMED CT, Gøeg, KR., Chen, R., Højen, AR. and Elberg, PB. International Journal of Medical Informatics. 2014, Citations


Clustering clinical models from local electronic health records based on semantic similarity, Gøeg, KR., Cornet, R. and Andersen, SK. Journal of Biomedical Informatics. 2015, Citations