A knowledgeable security model for distributed health information systems

Xiao, Liang; Hu, Bo; Croitoru, Madalina; Lewis, Paul; Dasmahapatra, Srinandan

doi:10.1016/j.cose.2009.08.002

Cited by 19 publications

(8 citation statements)

References 22 publications

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Section: State Of the Artmentioning

confidence: 99%

“…Xiao et al [39] proposed a new approach to support data transfer and decision making process using ontologies in diagnosis and treatment of human brain tumour. In the proposed new approach by [39], conceptual graphs for unifying local views that can give an interface to local data for reasoning and managing knowledge were used. Similar to our work Xiao et al [39] used conceptual graphs to manage medical records, but with a focus mainly on security policies while we are interested in the traceability of the decisions taken.…”

Section: State Of the Artmentioning

confidence: 99%

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Combining conceptual graphs and argumentation for aiding in the teleexpertise

Doumbouya

Kamsu-Foguem

Kenfack

et al. 2015

Computers in Biology and Medicine

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Current medical information systems are too complex to be meaningfully exploited. Hence there is a need to develop new strategies for maximising the exploitation of medical data to the benefit of medical professionals. It is against this backdrop that we want to propose a tangible contribution by providing a tool which combines conceptual graphs and Dung׳s argumentation system in order to assist medical professionals in their decision making process. The proposed tool allows medical professionals to easily manipulate and visualise queries and answers for making decisions during the practice of teleexpertise. The knowledge modelling is made using an open application programming interface (API) called CoGui, which offers the means for building structured knowledge bases with the dedicated functionalities of graph-based reasoning via retrieved data from different institutions (hospitals, national security centre, and nursing homes). The tool that we have described in this study supports a formal traceable structure of the reasoning with acceptable arguments to elucidate some ethical problems that occur very often in the telemedicine domain.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Combining conceptual graphs and argumentation for aiding in the teleexpertise

Doumbouya

Kamsu-Foguem

Kenfack

et al. 2015

Computers in Biology and Medicine

View full text Add to dashboard Cite

show abstract

“…In 1999, IOM (U.S. National Institute of Medicine) published a landmark report "To err is Human" (people will make mistakes) [3], the report showed that: first, the quantity of medical errors is huge; second, most medical errors are caused by human factors which can be avoided by means of a computer system [14]. Therefore, improving the quality of care, control ling medical errors, improving patient safety are feasible and imminent.…”

Section: Introductionmentioning

confidence: 99%

Research on Applications of Multi-Agent System Based on Execution Engine in Clinical Decision-Making

Yan

Xiao

Liu

et al. 2014

Health Information Science

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Abstract. Medical errors have become a common concern of social problems. One important reason is the lack of clinical experience. Clinical guidelines are the solution to this problem; however, they are always kept being updated. Let the system adapt to the changing clinical guidelines is a challenging idea. In this paper we propose MAS (Multi-Agent System) based on the Execution Engine can achieve this goal. In the MAS, clinical guidelines are mapped into rules, which are stored in the rule repository and could be processed by the Execution Engine, to guide agents' behaviors. Rules in the system are configurable and Execution Engine can always obtain the latest data at runtime without interrupting system running, so it implements the system's adaptability. Agents, which could be deployed in distributed environments [2], simulate doctors' roles to do aided diagnosis by collaborations which implements data sharing and improves the accuracy of decision-making greatly. Keywords: Multi-Agent System

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“…Multi-agent system is a kind of programming ideas in the recent years. Because of its autonomous, interactive, collaborative, communication and other characteristics, agents could coordinate and combine with each other to complete the decision task, so they often are used to solve complex environment problems [4] [5].…”

Section: Introductionmentioning

confidence: 99%

Research of multi-agent system based on CDA message structure in clinical decision support

Chen

Xiao

Yan

et al. 2015

2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)

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MultiAgent system is designed for distributed environment, and has been proved efficient in the making of clinical decision support. Usually,agents communicate with each other by using messages in a distributed system,hence a well formed and organized message structure might be the key point to get high quality of message transport between different agents.Clinical Document Architecture(CDA),which is a standard for clinical document information exchange ,could convey more standardized clinical information to help physicians make much more accurate clinical decisions.In this paper, a document structure based on CDA is proposed as a message strcture for information exchange between different agents and it is proved flexible and efficient in the clinical information transportation and exchange.Through using the proposed message strcture,agents cooperate with each other much more efficiently ,which could help doctors make much more scientific clinical decisions ,reduce medical errors and then provide higer quality of heathcare.

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A knowledgeable security model for distributed health information systems

Cited by 19 publications

References 22 publications

Combining conceptual graphs and argumentation for aiding in the teleexpertise

Combining conceptual graphs and argumentation for aiding in the teleexpertise

Research on Applications of Multi-Agent System Based on Execution Engine in Clinical Decision-Making

Research of multi-agent system based on CDA message structure in clinical decision support

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