Ganzinger Matthias, Gietzelt Matthias, Karmen Christian, Flores Blanca, Knaup Petra
Heidelberg University, Institute of Medical Biometry and Informatics, Heidelberg, Germany.
Stud Health Technol Inform. 2018;247:875-879.
Systems medicine is a paradigm for translating in silico methods developed for modelling biological systems into the field of medicine. Such approaches rely on the integration of as many data sources as possible, both in the dimension of disease knowledge and patient data. This is a challenging task that can only be implemented in clinical routine with the help of suitable information technology from the field of Medical Informatics. For the research project "Clinically-applicable, omics-based assessment of survival, side effects, and targets in multiple myeloma" (CLIOMMICS) we developed a prototypical systems medicine application system. It is based on a three-level-architecture covering data representation, decision support, and user interface. The core decision support component is implemented as a case-based reasoning engine. However, the architecture follows a modular design that allows to replace individual components as needed.
系统医学是一种将为生物系统建模而开发的计算机方法转化到医学领域的范例。此类方法依赖于在疾病知识和患者数据维度上尽可能多地整合数据源。这是一项具有挑战性的任务，只有借助医学信息学领域的合适信息技术才能在临床常规中得以实施。对于“基于组学的多发性骨髓瘤生存、副作用及靶点的临床适用评估”（CLIOMMICS）研究项目，我们开发了一个原型系统医学应用系统。它基于一个涵盖数据表示、决策支持和用户界面的三级架构。核心决策支持组件被实现为一个基于案例的推理引擎。然而，该架构采用模块化设计，允许根据需要替换各个组件。
