Management of Acute Coronary Syndrome (ACS) in an emergency department setting is
challenging due to the complexity of the disease and the multi-disciplinary care
environment, leading to the need for standardized protocols to ensure patient safety and
care quality. Clinical Practice Guidelines (CPG) for ACS are prevalent but they are not
directly applicable in the ED setting due to their complex narrative nature.
In this thesis we present a knowledge modeling solution, using semantic web
technologies, to computerize the ACS CPG published by the American Heart
Association. Our knowledge modeling approach provides a modular characterization of
the CPG knowledge and offers unique mechanisms to (a) update the knowledge model in
response to periodic CPG updates; and (b) streamline the ACS management clinical
pathway in response to resource constraints at an institution. The computerized CPG will
serve as an ACS management decision support system, targeting tertiary hospitals in
Saudi Arabia.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:NSHD.ca#10222/14375 |
| Date | 30 November 2011 |
| Creators | Omaish, Mostafa |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
Page generated in 0.0019 seconds