The application of clinical decision support system can effectively solve the limitation of the clinician's knowledge, can easily help doctors to collect patient's data, diagnose, treat and prevent of disease. Clinical decision support system has not been widely used in clinical practice, there are two reasons. First, at present, most of the hospital's information systems do not have integrated clinical decision support system. Second, the system used in most hospital is not integrated with the clinical decision support system. In this paper, due to the above problems, we use Multi-Agent technology, through the provincial platform to achieve data sharing to obtain the patient's historical data. Combining the knowledge base to make the best decision for the same patient between community and the province medical institution.

Research of Clinical Decision Support System Based on Distributed Environment

Research of Clinical Decision Support System Based on Distributed Environment.

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.

https://link.springer.com/content/pdf/10.1007%2F978-3-319-06269-3_28.pdf

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

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