|
Title:
|
HUMAN-CENTRED DESIGN OF ONTOLOGY BASED CLINICAL DECISION SUPPORT SYSTEM |
|
Author(s):
|
Alphonsine Mukabunani, Jan Pettersen Nytun and Ghislain Maurice Norbert Isabwe |
|
ISBN:
|
978-989-8533-65-4 |
|
Editors:
|
Mário Macedo |
|
Year:
|
2017 |
|
Edition:
|
Single |
|
Keywords:
|
Clinical decision support; semantic web; HCD |
|
Type:
|
Full Paper |
|
First Page:
|
34 |
|
Last Page:
|
44 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Research and development of clinical decision support systems (CDSS) aims to support medical professionals in making the right diagnosis for improved outcome in patient treatment. However, the accuracy and technology acceptance of such systems can vary greatly depending on knowledge representation methodology, reasoning approach as well as the perceived usefulness and ease of use. In some cases, the system knowledge base may not be built using standard medical ontologies. Further on, some of the systems provide user interfaces with severe usability problems for users with average digital literacy. This work presents how an ontology and its generic tools can be used to overcome the above challenges. A human-centred design approach is applied in order to capture the needs of the medical personnel dealing with diabetes mellitus in Rwanda. A new ontology was created as an extension of the diabetes mellitus diagnosis ontology, and rules were created based on diabetes diagnostic criteria by using jena rule syntax and forward chaining inference. Testing and evaluation of the system proved that patient diagnosis, recommendation and decision explanation matched the results expected from a physician, hence proving that the designed CDSS is an expert system. |
|
|
|
|
|
|
