Title :
Developing decision support for dialysis treatment of chronic kidney failure
Author :
Raghavan, Srinivasa R. ; Ladik, Vladimir ; Meyer, Klemens B.
Author_Institution :
Interactive Bus. Syst., Oakbrook, IL, USA
fDate :
6/1/2005 12:00:00 AM
Abstract :
The complexity, variability, quantitative nature, and data density of treatment for chronic kidney failure make dialysis information systems excellent candidates for computerized decision support. We describe the development of an intelligent system building on existing knowledge and susceptible to reconfiguration on the basis of knowledge acquired during the use of the system. Various decision support techniques were used to design and develop the decision support modules. This paper briefly reviews the literature on clinical decision support, discusses some of the problems faced by practitioners in managing chronic kidney failure (end-stage renal disease) patients, and sets forth the decision support techniques used in developing a dialysis decision support system.
Keywords :
decision support systems; diseases; kidney; knowledge acquisition; knowledge management; medical information systems; patient treatment; protocols; reviews; chronic kidney failure; clinical decision support; clinical intelligent system; computerized decision support; data density; decision support module; dialysis information system; dialysis treatment; end-stage renal disease; knowledge acquisition; knowledge management; protocol; Buildings; Decision support systems; Diseases; Frequency; Information systems; Intelligent structures; Intelligent systems; Knowledge management; Medical treatment; Protocols; Clinical decision support; clinical intelligent system; end-stage renal disease; knowledge management; protocols; Anemia; Artificial Intelligence; Decision Support Systems, Clinical; Humans; Kidney Failure, Chronic; Renal Dialysis;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2005.847133