Healthc Inform Res.  2014 Jul;20(3):173-182. 10.4258/hir.2014.20.3.173.

Healthcare Decision Support System for Administration of Chronic Diseases

Affiliations
  • 1U-Healthcare Institute, Gachon University, Incheon, Korea.
  • 2Department of IT Convergence Engineering, Gachon University, Seongnam, Korea.
  • 3Department of Computer Science, Gachon University, Seongnam, Korea. ugkang@gachon.ac.kr

Abstract


OBJECTIVES
A healthcare decision-making support model and rule management system is proposed based on a personalized rule-based intelligent concept, to effectively manage chronic diseases.
METHODS
A Web service was built using a standard message transfer protocol for interoperability of personal health records among healthcare institutions. An intelligent decision service is provided that analyzes data using a service-oriented healthcare rule inference function and machine-learning platform; the rules are extensively compiled by physicians through a developmental user interface that enables knowledge base construction, modification, and integration. Further, screening results are visualized for the self-intuitive understanding of personal health status by patients.
RESULTS
A recommendation message is output through the Web service by receiving patient information from the hospital information recording system and object attribute values as input factors. The proposed system can verify patient behavior by acting as an intellectualized backbone of chronic diseases management; further, it supports self-management and scheduling of screening.
CONCLUSIONS
Chronic patients can continuously receive active recommendations related to their healthcare through the rule management system, and they can model the system by acting as decision makers in diseases management; secondary diseases can be prevented and health management can be performed by reference to patient-specific lifestyle guidelines.

Keyword

Clinical Decision Support Systems; Expert Systems; Knowledge Bases; Personal Health Records; Chronic Disease

MeSH Terms

Chronic Disease*
Decision Support Systems, Clinical
Delivery of Health Care*
Expert Systems
Health Records, Personal
Humans
Knowledge Bases
Life Style
Mass Screening
Self Care

Figure

  • Figure 1 Personal health record (PHR) approach standardized interface. HL7: Health Level 7, WSDL: Web service description language, SOAP: simple object access protocol, HDSS: healthcare decision support system, CMS: content management system, XML: extensible markup language, HIS: hospital information system, EMR: Electronic Medical Record.

  • Figure 2 Service layer model. HDSS: healthcare decision support system, PHR: personal health record, NLP: natural language processing.

  • Figure 3 Evidence representation techniques: hyperlipidemia entered in the search window.

  • Figure 4 Evidence representation techniques: hyperlipidemia expressed in the form of a foam tree.

  • Figure 5 Rule-based reasoning process in the case of body mass index (BMI). HDSS: healthcare decision support system.

  • Figure 6 Example of a simple rule-based inference.

  • Figure 7 Common structure of a rule-based expert system.

  • Figure 8 Structure of healthcare decision support system (HDSS). HL7: Health Level 7, EMR: Electronic Medical Record, PHR: personal health record, CMS: content management system, SOAP: simple object access protocol, CGS: chronic disease guideline support, HSP: health screening personalization, GBHSP: gene-based health screening personalization, NLP: natural language processing.


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