Mined-Knowledge and Decision Support Services in Electronic Health

Large organizations in various information domains are constantly facing the challenges of growing size, new business requirements, and customer demands for service agility. As an example, in the healthcare domain provision of unique electronic health record systems (EHR) for patient identification and health history, integration of regional systems into a nation-wide system, information and service sharing, and security and privacy of patient data have generated a set of new challenges. Canada Health In-foway has proposed an information infrastructure for networked healthcare systems that is based on service oriented architecture (SOA) and provides standards for sharing data and services. In this paper, we investigate the provision of mined-knowledge (results of data mining on patient data), clinical decision support systems, and network visualization and monitoring through SOA. We also address the advantages of SOA implementation using an enterprise service bus in order to accommodate these services. Such services can benefit similar domains such as banking, communications, air traffic control, and transportation.

[1]  Douglas C. Schmidt,et al.  Ultra-large-scale systems , 2006, OOPSLA '06.

[2]  Jeff Kabachinski,et al.  What is Health Level 7? , 2006, Biomedical instrumentation & technology.

[3]  Liam Peyton Common Warehouse Metamodel , 2009, Encyclopedia of Database Systems.

[4]  K. Sartipi,et al.  Incoporating Data Mining Applications into Clinical Guildelines , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[5]  David A Chappell,et al.  Enterprise Service Bus , 2004 .