J Med Syst - Integration of an OWL-DL knowledge base with an EHR prototype and providing customized information.

Tópicos

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Resumo

When clinicians use electronic health record (EHR) systems, their ability to obtain general knowledge is often an important contribution to their ability to make more informed decisions. In this paper we describe a method by which an external, formal representation of clinical and molecular genetic knowledge can be integrated into an EHR such that customized knowledge can be delivered to clinicians in a context-appropriate manner.Web Ontology Language-Description Logic (OWL-DL) is a formal knowledge representation language that is widely used for creating, organizing and managing biomedical knowledge through the use of explicit definitions, consistent structure and a computer-processable format, particularly in biomedical fields. In this paper we describe: 1) integration of an OWL-DL knowledge base with a standards-based EHR prototype, 2) presentation of customized information from the knowledge base via the EHR interface, and 3) lessons learned via the process. The integration was achieved through a combination of manual and automatic methods. Our method has advantages for scaling up to and maintaining knowledge bases of any size, with the goal of assisting clinicians and other EHR users in making better informed health care decisions.

Resumo Limpo

clinician use electron health record ehr system abil obtain general knowledg often import contribut abil make inform decis paper describ method extern formal represent clinic molecular genet knowledg can integr ehr custom knowledg can deliv clinician contextappropri mannerweb ontolog languagedescript logic owldl formal knowledg represent languag wide use creat organ manag biomed knowledg use explicit definit consist structur computerprocess format particular biomed field paper describ integr owldl knowledg base standardsbas ehr prototyp present custom inform knowledg base via ehr interfac lesson learn via process integr achiev combin manual automat method method advantag scale maintain knowledg base size goal assist clinician ehr user make better inform health care decis

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