J Biomed Inform - Knowledge engineering for adverse drug event prevention: on the design and development of a uniform, contextualized and sustainable knowledge-based framework.

Tópicos

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{ medic(1828) order(1363) alert(1069) }
{ framework(1458) process(801) describ(734) }
{ system(1976) rule(880) can(841) }
{ general(901) number(790) one(736) }
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{ take(945) account(800) differ(722) }
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{ method(1557) propos(1049) approach(1037) }
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{ age(1611) year(1155) adult(843) }
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{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
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{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
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{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

The primary aim of this work was the development of a uniform, contextualized and sustainable knowledge-based framework to support adverse drug event (ADE) prevention via Clinical Decision Support Systems (CDSSs). In this regard, the employed methodology involved first the systematic analysis and formalization of the knowledge sources elaborated in the scope of this work, through which an application-specific knowledge model has been defined. The entire framework architecture has been then specified and implemented by adopting Computer Interpretable Guidelines (CIGs) as the knowledge engineering formalism for its construction. The framework integrates diverse and dynamic knowledge sources in the form of rule-based ADE signals, all under a uniform Knowledge Base (KB) structure, according to the defined knowledge model. Equally important, it employs the means to contextualize the encapsulated knowledge, in order to provide appropriate support considering the specific local environment (hospital, medical department, language, etc.), as well as the mechanisms for knowledge querying, inference, sharing, and management. In this paper, we present thoroughly the establishment of the proposed knowledge framework by presenting the employed methodology and the results obtained as regards implementation, performance and validation aspects that highlight its applicability and virtue in medication safety.

Resumo Limpo

primari aim work develop uniform contextu sustain knowledgebas framework support advers drug event ade prevent via clinic decis support system cdsss regard employ methodolog involv first systemat analysi formal knowledg sourc elabor scope work applicationspecif knowledg model defin entir framework architectur specifi implement adopt comput interpret guidelin cig knowledg engin formal construct framework integr divers dynam knowledg sourc form rulebas ade signal uniform knowledg base kb structur accord defin knowledg model equal import employ mean contextu encapsul knowledg order provid appropri support consid specif local environ hospit medic depart languag etc well mechan knowledg queri infer share manag paper present thorough establish propos knowledg framework present employ methodolog result obtain regard implement perform valid aspect highlight applic virtu medic safeti

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