Knowledge logistics as an intelligent service for healthcare.
OBJECTIVE
The technology of grid services is developing fast. This paper presents an approach to the implementation of an intelligent grid service that configures a hospital taking advantage of the knowledge logistics idea.


METHODS
The presented approach is based on synergistic integration of knowledge acquired from distributed sources in order to obtain new or complement insufficient knowledge. Presented approach uses ontologies and the formalism of object-oriented constraint networks for knowledge representation and applies ILOG to constraint-based problem solving.


RESULTS
The application of the approach is illustrated via a decision support system for a fictitious case study of a hospital configuration in the Binni region. The system showed the ability to produce interrelated solutions for subtasks of the hospital configuration task based on the built ontology and input parameters. Besides, such preferences as cost or time minimization are also considered by the implemented fuzzy logic module that finds a feasible solution.


CONCLUSIONS
KL would benefit from the grid, and particularly from the concept of a semantic grid. The scalable architecture of the approach enables its extension with regard to knowledge/information sources number and, thereby, with regard to factors taken into account during complex problem solving. Utilizing ontologies allows integration of the approach into existing processes and facilitates knowledge sharing with similar systems. Application of constraint networks allows rapid problem manipulation and usage of such existing efficient technologies as ILOG.
Smirnov
A
A
St. Petersburg Institute for Informatics and Automation 39, Russian Academy of Sciences, 14th Line, St. Petersburg 199178, Russia. smir@mail.iias.spb.su
Pashkin
M
M
Chilov
N
N
Levashova
T
T
Krizhanovsky
A
A
D001185:Artificial Intelligence; D003628:Database Management Systems; D020000:Decision Support Systems, Clinical; D003660:Decision Support Systems, Management; D004189:Disaster Planning; D005103:Expert Systems; D006752:Hospital Planning; D006801:Humans; D007256:Information Systems; D020407:Internet; D019359:Knowledge; D008491:Medical Informatics Applications; D012426:Russia; D018511:Systems Integration