STEP2005-abstract.txt

ABSTRACT:

In this paper we propose a knowledge management framework for 
distributed Healthcare systems consisting of data- and knowledge-
bases that contain patient data and mined knowledge within Healthcare 
institutions. The framework takes advantage of data mining 
techniques, enabling technologies and standards to provide decision 
making support for the Healthcare personnel. The application areas of 
the new framework range from clinical care to administrative decision 
support. With the guidance of the Healthcare researchers the 
available patient data is mined off-line to extract meaningful 
knowledge from medical data which can be shared with other 
institutions through XML-based documents (known as PMML) to achieve 
knowledge interoperability among different heterogeneous Healthcare 
systems. Data interoperability is achieved through an XML-based 
clinical data representation (HL7 CDA) to encode patient data. A 
clinical guideline and a logic module will receive inputs form both 
PMML and CDA to enable decision making at a higher level of knowledge 
management based on patient data and mined knowledge. We also applied 
the proposed framework on three clinical case studies.