Department of Digital Systems, University of Piraeus, 126 Grigoriou Lambraki, 18534, Piraeus, Greece.
National Hellenic Research Foundation, 48 Vassileos Constantinou Ave, 11635, Athens, Greece.
J Med Syst. 2021 Jan 6;45(1):10. doi: 10.1007/s10916-020-01679-3.
Electronic health record (EHR) systems improve health care services by allowing the combination of health data with clinical decision support features and clinical image analyses. This study presents a modular and distributed platform that is able to integrate and accommodate heterogeneous, multidimensional (omics, histological images and clinical) data for the multi-angled portrayal and management of skin cancer patients. The proposed design offers a layered analytical framework as an expansion of current EHR systems, which can integrate high-volume molecular -omics data, imaging data, as well as relevant clinical observations. We present a case study in the field of dermatology, where we attempt to combine the multilayered information for the early detection and characterization of melanoma. The specific architecture aspires to lower the barrier for the introduction of personalized therapeutic approaches, towards precision medicine. The paper describes the technical issues of implementation, along with an initial evaluation of the system and discussion.
电子健康记录 (EHR) 系统通过将健康数据与临床决策支持功能和临床图像分析相结合，从而改善医疗服务。本研究提出了一个模块化和分布式的平台，能够集成和适应异构的、多维的（组学、组织学图像和临床）数据，以便多角度描绘和管理皮肤癌患者。所提出的设计提供了一个分层分析框架，作为对当前 EHR 系统的扩展，该框架可以集成大容量的分子组学数据、成像数据以及相关的临床观察结果。我们在皮肤病学领域进行了案例研究，尝试将多层信息结合起来，以实现黑色素瘤的早期检测和特征描述。该特定架构旨在降低引入个性化治疗方法的门槛，从而实现精准医疗。本文描述了实施过程中的技术问题，并对系统进行了初步评估和讨论。
