Clinical decision support systems (CDSS) and the Picture Archiving and Communication System (PACS) have been adopted by large healthcare organization to support stroke diagnosis to reduce the level of misdiagnosis occurrence. This research presents a methodology for constructing a stroke decision support system (Stroke DSS) which integrates basic information, physical and image stroke assessment criterions, constructs ischemic, hemorrhage and subarachnoid hemorrhage of stroke diagnosis flow. A prototype embedded methodology was built to support stroke diagnosis in healthcare organization. Using a design science approach, we embed the constructs of our methodology in a prototype and perform a usability evaluation to demonstrate the utility of our approach. The usability evaluation demonstrates the effectiveness of our approach in terms of efficiency, effectiveness and satisfaction. The resulting system allowed flexible knowledge model and representation that are useful for stroke diagnosis.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0717111-051951 |
| Date | 17 July 2011 |
| Creators | Jhu, Yi-cheng |
| Contributors | Shin, Shin-Shing, Wu, Jen-Her, Hsia, Tzyh-Lih, Hsieh, M.C. |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0717111-051951 |
| Rights | restricted, Copyright information available at source archive |
Page generated in 0.0017 seconds