Novel Design Approach to Build Audit Rule Ontology for Healthcare Decision Support Systems
نویسندگان
چکیده
Continuous Auditing (CA) has been investigated over time and it is, somewhat, in practice within financial and transactional auditing as a part of continuous assurance and monitoring. Enterprise Information Systems that run their activities in the form of processes require continuous auditing of a process that invokes the action(s) specified in the policies and rules in a continuous manner. A shared vocabulary, or common ontology, defines the processes and the audit rule ontology for processes or modules are integrated to form a hybrid ontology that supports the acquisition and evolution of ontologies. In this paper, we propose a methodology to construct a Healthcare Common Ontology by coupling to an expert system. We also propose a direction to generate an audit rule ontology of a process or module from defined rules for the purpose of Continuous Process Auditing (CPA) for Healthcare Decision Support Systems.
منابع مشابه
An Executive Approach Based On the Production of Fuzzy Ontology Using the Semantic Web Rule Language Method (SWRL)
Today, the need to deal with ambiguous information in semantic web languages is increasing. Ontology is an important part of the W3C standards for the semantic web, used to define a conceptual standard vocabulary for the exchange of data between systems, the provision of reusable databases, and the facilitation of collaboration across multiple systems. However, classical ontology is not enough ...
متن کاملNew Realities of the Enterprise Management System Information Support: Economic and Mathematical Models and Cloud Technologies
The paper focuses on the urgency of the implementation of cloud technologies, which are a necessary condition for the development of enterprise management systems, give rise to a complex of insufficiently studied phenomena and processes and determine the need to find new tools in making and implementing reasonable management decisions. In the process of research, the sequence of construction an...
متن کاملDrug-Drug Interaction Clinical Decision Support Systems: Advantages, Challenges and Barriers, and Strategies to Overcome Them
Drug-drug interactions (DDIs) are a common source of preventable medical errors in inpatient and outpatient settings of both developed and developing countries. When two or more drugs are simultaneously prescribed, interactions between their effects may result in preventable adverse events such as damages to vital organs, frequent hospitalizations, prolonged length of hospital stay, and increas...
متن کاملDrug-Drug Interaction Clinical Decision Support Systems: Advantages, Challenges and Barriers, and Strategies to Overcome Them
Drug-drug interactions (DDIs) are a common source of preventable medical errors in inpatient and outpatient settings of both developed and developing countries. When two or more drugs are simultaneously prescribed, interactions between their effects may result in preventable adverse events such as damages to vital organs, frequent hospitalizations, prolonged length of hospital stay, and increas...
متن کاملApplication of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...
متن کامل