Improving Decision-Making for Clinical Research and Health Administration
作者： Alexandra Pomares-Quimbaya , Rafael A. González , Wilson-Ricardo Bohórquez , Oscar Mauricio Muñoz , Olga Milena García
DOI: 10.1007/978-3-642-39928-2_9
关键词: Health administration 、 Semantic similarity 、 Conversation 、 Knowledge management 、 Information system 、 Visualization 、 Early adopter 、 Identification (information) 、 Domain (software engineering) 、 Computer science
摘要: This chapter presents a health decision-support system called DISEArch that allows the identification and analysis of relevant EHR for decision-making. It uses structured non-structured data, provides analytical as well visualization facilities over individual or sets EHR. proves to be useful empower researchers during processes reduce considerably time required obtain study. The semantic distance between should also further developed. As with any information systems project, conversation needs put in place realize full potential IT-based offer people, this case within medical domain. is mutual learning experience requires constant translations, frequent prototype discussions, grounding new support current practices clear existing problems future opportunities are opened up order enrich momentum enlarge community early adopters guaranteeing continued financial, scientific administrative project from management stakeholders. Our very positive we intend pursue approach extract lessons learned similar projects.
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