Date of Award
1-18-2016
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
clinical data, data mapping, interoperability, LOINC, medical standards
Supervisor
Kent, Robert
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
The diversity in representation of medical data prevents straightforward data mapping, standardization and interoperability between the heterogeneous systems. We identify a specific problem, namely the need to achieve interoperability by applying a standard based data modeling approach to achieve a common platform that serves to improve the health data mapping of unstructured data and addresses ambiguity issues when dealing with health data from heterogeneous systems. In this thesis, we proposed an original Hybrid algorithm that identifies the attributes of data in heterogeneous systems based on critical medical standards and protocols and then performs semantic integration to form a uniform interoperable system. Also, efficient data modeling techniques are introduced for improving data storage and extraction. We tested the proposed algorithm with multiple data sets and compared the proposed approach with traditional data modeling approaches. We found that the proposed approach demonstrated performance improvements and reduction in data losses.
Recommended Citation
Janaswamy, Sreya, "SEMANTIC INTEROPERABILITY AND DATA MAPPING IN EHR SYSTEMS" (2016). Electronic Theses and Dissertations. 5645.
https://scholar.uwindsor.ca/etd/5645