A data integration platform for patient-centered e-healthcare and clinical decision support
A data integration platform for patient-centered e-healthcare and clinical decision support
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DOI：
10.1016/j.future.2018.07.061
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发表时间：
2019-03-01
影响因子：
7.5
通讯作者：
Chilamkurti, Naveen
中科院分区：
文献类型：
--
作者：
Jayaratne, Madhura;Nallaperuma, Dinithi;Chilamkurti, Naveen
断开连接的信息系统的激增积累了越来越多的异构数据，这是医疗保健领域的一个巨大挑战。随着整个领域逐渐过渡到电子医疗保健和以患者为中心的医疗保健提供模式，有必要应对这一挑战。系统层面数据集成的缺乏阻碍了临床医生对患者病情的全面了解，并进一步剥夺了患者对其医疗状况的整体认识。在本文中，我们提出了一个开放的数据集成平台，用于跨多个健康信息系统存储的患者、临床、医疗和历史数据。作为一个开放平台，它可以容纳和集成更多的异构数据源，例如可穿戴物联网设备生成的数据流。作为一个集成平台，它有利于数据资产的集中化。这种集中化使每个利益相关者能够在以患者为中心的护理环境中积极参与决策。一系列分析和报告解决方案，例如数据仓库、交互式仪表板和预测分析工具，都可以部署在这个开放数据集成平台上。目前正在对拟议的平台进行调整和实施，以满足澳大利亚墨尔本一家非营利性私立医院运动损伤诊所以患者为中心的医疗保健和临床决策支持需求。基于用例的演示证明了该平台对整体信息管理、决策支持和预测分析的适用性，证明了其在电子医疗保健发展中的作用。 (C) 2018 Elsevier B.V. 保留所有权利。
The proliferation of disconnected information systems accumulating increasing volumes of heterogeneous data is a formidable challenge in the healthcare domain. It is necessary to address this challenge as the entire domain gradually transitions into e-healthcare and patient-centered healthcare delivery models. The lack of data integration at systems level prohibits clinicians from building a comprehensive understanding of the patient condition and further deprives patients of developing a holistic awareness of their medical conditions. In this paper, we propose an open data integration platform for patient, clinical, medical and historical data siloed across multiple health information systems. As an open platform, it can accommodate and integrate further heterogeneous data sources such as data streams generated by wearable IoT devices. As an integration platform, it facilitates the centralization of data assets. This centralization empowers every stakeholder in a patient-centered care setting to actively participate in decision-making. A range of analytics and reporting solutions, such as data warehouse, interactive dashboards, and predictive analytics tools, can be deployed upon this open data integration platform. The proposed platform is currently being adapted and implemented to address patient-centered healthcare and clinical decision support requirements in a sports injury clinic at a not-for-profit private hospital in Melbourne, Australia. Use Case based demonstration of the platform's suitability for holistic information management, decision support, and predictive analytics justify its role in the advancement of e-healthcare. (C) 2018 Elsevier B.V. All rights reserved.