| Article ID: | iaor20043163 |
| Country: | Netherlands |
| Volume: | 36 |
| Issue: | 2 |
| Start Page Number: | 161 |
| End Page Number: | 176 |
| Publication Date: | Oct 2003 |
| Journal: | Decision Support Systems |
| Authors: | Michalowski Wojtek, Slowinski Roman, Wilk Szymon, Rubin Steven |
| Keywords: | decision: applications, artificial intelligence: decision support, datamining |
This paper describes the process and methodology of designing and developing a mobile support system to triage abdominal pain in the emergency room of a hospital. Application of rough sets theory and fuzzy measures to data collected at Children's Hospital of Eastern Ontario allowed us to identify the most relevant clinical symptoms and signs while evaluating an abdominal pain patient. This information was used to develop a multilevel clinical algorithm that forms the reasoning module of a clinical support system. We describe a client system called Mobile Emergency Triage (MET) that is installed on Palm handheld and that can be used to triage a child irrespective of the available information. We present MET's functions allowing for the electronic data capture and wireless data transfer.