Ganzinger Matthias, Gietzelt Matthias, Karmen Christian, Firnkorn Daniel, Knaup Petra
University of Heidelberg, Institute of Medical Biometry and Informatics, Heidelberg, Germany.
Stud Health Technol Inform. 2015;210:185-9.
Systems medicine aims to support treatment of complex diseases like cancer by integrating all available data for the disease. To provide such a decision support in clinical practice, a suitable IT architecture is necessary. We suggest a generic architecture comprised of the following three layers: data representation, decision support, and user interface. For the systems medicine research project "Clinically-applicable, omics-based assessment of survival, side effects, and targets in multiple myeloma" (CLIOMMICS) we developed a concrete instance of the generic architecture. We use i2b2 for representing the harmonized data. Since no deterministic model exists for multiple myeloma we use case-based reasoning for decision support. For clinical practice, visualizations of the results must be intuitive and clear. At the same time, they must communicate the uncertainty immanent in stochastic processes. Thus, we develop a specific user interface for systems medicine based on the web portal software Liferay.
系统医学旨在通过整合某种疾病的所有可用数据来支持对癌症等复杂疾病的治疗。为了在临床实践中提供这种决策支持，需要一个合适的信息技术架构。我们建议一种由以下三层组成的通用架构：数据表示层、决策支持层和用户界面层。对于系统医学研究项目“基于组学的多发性骨髓瘤生存、副作用和靶点的临床适用性评估”（CLIOMMICS），我们开发了该通用架构的一个具体实例。我们使用i2b2来表示统一的数据。由于不存在针对多发性骨髓瘤的确定性模型，我们使用基于案例的推理进行决策支持。对于临床实践，结果的可视化必须直观且清晰。同时，它们必须传达随机过程中固有的不确定性。因此，我们基于门户网站软件Liferay开发了一个用于系统医学的特定用户界面。
