Title :
A toolkit to aid clinical decision support
Author :
Burn-Thornton, K.E. ; Lazzarini, A.
Author_Institution :
Dept. of Comput. Sci., Durham Univ., UK
Abstract :
We describe a clinical decision support toolkit (CDST) which has the capability to support workers across most healthcare sectors. The tool provides sets of tools which enable the user to manipulate data, carry out various levels of statistical analysis of data and visualization. This toolkit can be used in two modes of operation: skilled and semi-skilled. In order to demonstrate the potential for the CDST across the healthcare sectors we describe how the tool was used to aid in analysis of alcohol counselling data.
Keywords :
data analysis; data mining; data visualisation; decision support systems; medical diagnostic computing; medical expert systems; patient care; patient rehabilitation; alcohol counselling data; clinical decision support toolkit; healthcare sectors.; statistical analysis; visualization; Cities and towns; Computer science; Data mining; Data visualization; Decision support systems; Employee welfare; Health and safety; Medical services; Spread spectrum communication; Statistical analysis;
Conference_Titel :
Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
Print_ISBN :
0-7803-7667-6
DOI :
10.1109/ITAB.2003.1222522
