Title :
A hybrid reasoning system for care planning in end-of-life cancer care
Author_Institution :
Health Inf. Lab., Dalhousie Univ., Halifax, NS, Canada
Abstract :
In end-of-life cancer care, nurse clinicians strive to deliver care to minimize pain, manage debilitating symptoms, and improve patients´ quality of life as they approach end of life. To improve symptom management in end-of-life care, research suggests that nurse clinicians require access to contextually relevant, medical knowledge resources at the point-of-care to assist with clinical decision making. In this paper we present a clinical decision support system that employs case-based reasoning which enables nurse clinicians to make informed clinical decisions based upon past patient cases in end-of-life cancer care.
Keywords :
cancer; case-based reasoning; decision support systems; inference mechanisms; medical information systems; patient care; care planning; case-based reasoning; clinical decision making; clinical decision support system; debilitating symptoms; end-of-life cancer care; hybrid reasoning system; medical knowledge resources; nurse clinicians; pain minimization; past patient cases; patient life quality; Accuracy; Algorithm design and analysis; Cancer; Cognition; Decision trees; Pain; Planning; Care planning; Clinical decision support system; End-of-life; Personalization;
Conference_Titel :
Information Reuse and Integration (IRI), 2012 IEEE 13th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-2282-9
Electronic_ISBN :
978-1-4673-2283-6
DOI :
10.1109/IRI.2012.6303084
