DocumentCode :
822410
Title :
Conceptual framework of knowledge management for ethical decision-making support in neonatal intensive care
Author :
Frize, Monique ; Yang, Lan ; Walker, Robin C. ; Connor, Annette M O
Author_Institution :
Carleton Univ., Ottawa, Ont., Canada
Volume :
9
Issue :
2
fYear :
2005
fDate :
6/1/2005 12:00:00 AM
Firstpage :
205
Lastpage :
215
Abstract :
This research is built on the belief that artificial intelligence estimations need to be integrated into clinical social context to create value for health-care decisions. In sophisticated neonatal intensive care units (NICUs), decisions to continue or discontinue aggressive treatment are an integral part of clinical practice. High-quality evidence supports clinical decision-making, and a decision-aid tool based on specific outcome information for individual NICU patients will provide significant support for parents and caregivers in making difficult "ethical" treatment decisions. In our approach, information on a newborn patient\´s likely outcomes is integrated with the physician\´s interpretation and parents\´ perspectives into codified knowledge. Context-sensitive content adaptation delivers personalized and customized information to a variety of users, from physicians to parents. The system provides structuralized knowledge translation and exchange between all participants in the decision, facilitating collaborative decision-making that involves parents at every stage on whether to initiate, continue, limit, or terminate intensive care for their infant.
Keywords :
artificial intelligence; decision support systems; ethical aspects; health care; knowledge based systems; medical information systems; obstetrics; artificial intelligence estimation; clinical social context; context-sensitive content adaptation; decision-aid tool; ethical decision-making support; ethical treatment decision; health-care decision; knowledge exchange; knowledge management; knowledge transfer; knowledge-based system; neonatal intensive care unit; neonatal medicine; parent-physician decision-aid system; structuralized knowledge translation; Artificial intelligence; Collaboration; Councils; Decision making; Knowledge based systems; Knowledge management; Knowledge transfer; Medical treatment; Pediatrics; Uncertainty; Decision-support system; knowledge transfer and exchange; knowledge-based system; neonatal medicine; parent–physician decision-aid system; Artificial Intelligence; Decision Making, Organizational; Ethics, Medical; Humans; Infant, Newborn; Intensive Care, Neonatal; User-Computer Interface;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2005.847187
Filename :
1435418
Link To Document :
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