Douali Nassim, De Roo Jos, Jaulent Marie-Christine
Pierre and Marie Curie University, Paris, France.
Stud Health Technol Inform. 2012;180:1203-5.
Personalized medicine may be considered an extension of traditional approaches to understanding and treating diseases, but with greater precision. A profile of a patient's genetic variation can guide the selection of drugs or treatment protocols that minimize harmful side effects or ensure a more successful outcome. In this paper we describe a decision support system designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine. Development of clinical decision support based semantic web for personalized patient care is to achieve its potential and improve the quality, safety and efficiency of healthcare.
个性化医疗可被视为理解和治疗疾病的传统方法的延伸，但更为精确。患者基因变异概况可指导药物或治疗方案的选择，从而将有害副作用降至最低或确保取得更成功的治疗效果。在本文中，我们描述了一个旨在协助医生进行个性化医疗的决策支持系统，以及整合到临床工作流程中的方法。在个性化医疗背景下，一种用于交互异构知识和数据的推理方法是必要的。基于语义网开发用于个性化患者护理的临床决策支持，旨在发挥其潜力并提高医疗保健的质量、安全性和效率。
