Towards a Semantic-enabled Agent-oriented Distributed Clinical Decision Model

In a distributed Clinical Decision Support environment, a decision model is usually defined and coupled w WI a group if decision rules that together drive the decision support process. These can then be applied to patient-specific data to provide customised clinical adsices. 13ting useful and able to deliver improved clinical service, such systems are often closed and thus lead to the difficulties in keeping aligned with up-to-date hest evidences, interoperating wiih local Electronic Health Records (EHRs) systems, and ads king in multi-disciplinary decisions whereas disparate participants work towards the same decision goals. In this paper, a semantic-enabled agent-oriented distributed clinical decision model is proposed. Group decisions are modelled as goal trees, which can be managed altogether and later chosen, decomposed and distributed to appropriate decision participants. Individual decisions are modelled in the film of RM.-based argumentation rules, si hick can he universally. interpreted by a Rule Engine (RE) against the local EliRs. An Interactive Decision Interface Engine (IDIE) is developed to guide Incal decisions step by step and a Choreographer Agent (CA) syntheirzes decisions among a collaborathe group in a distributed environment. Ultimately, specialists can easily maintain decision know ledge in open and shared triple stores, and decision makers can liter undersiand and investigate decision recommendation rationale using knowledge graphs that are intimately integrated within their decision-making environment, We demonstrate the idea with a case study of triple assessment of breast cancer.