Big Data Knowledge System in Healthcare
Big Data Knowledge System in Healthcare
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DOI：
10.1007/978-3-319-49736-5_7
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发表时间：
2017-01-01
期刊：
影响因子：
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通讯作者：
Sundarsekar, Revathi
中科院分区：
文献类型：
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作者：
Manogaran, Gunasekaran;Thota, Chandu;Sundarsekar, Revathi
在记录保存、合规性和监管要求以及患者护理的推动下，医疗保健系统正在迅速采用大量数据。医疗保健系统的进步将迅速扩大电子可访问的健康记录的大小。与此同时，临床分析也取得了快速进展。例如，用于分析大规模数据并从分析中收集新业务见解的新技术就是所谓的大数据的一部分。大数据还有望支持广泛的医疗保健功能，包括疾病监测、临床决策支持和人口健康管理等。因此，需要有效的基于大数据的知识管理系统来监测患者并向医生确定临床决策。本章提出了一个基于大数据的知识管理系统，以制定临床决策。建议的知识系统是基于各种数据库，如电子健康记录（EHR），医学影像数据，非结构化的临床笔记和遗传数据。所提出的方法异步通信与不同的数据源，并产生许多替代的决定，医生。
The health care systems are rapidly adopting large amounts of data, driven by record keeping, compliance and regulatory requirements, and patient care. The advances in healthcare system will rapidly enlarge the size of the health records that are accessible electronically. Concurrently, fast progress has been made in clinical analytics. For example, new techniques for analyzing large size of data and gleaning new business insights from that analysis is part of what is known as big data. Big data also hold the promise of supporting a wide range of medical and healthcare functions, including among others disease surveillance, clinical decision support and population health management. Hence, effective big data based knowledge management system is needed for monitoring of patients and identify the clinical decisions to the doctor. The chapter proposes a big data based knowledge management system to develop the clinical decisions. The proposed knowledge system is developed based on variety of databases such as Electronic Health Record (EHR), Medical Imaging Data, Unstructured Clinical Notes and Genetic Data. The proposed methodology asynchronously communicates with different data sources and produces many alternative decisions to the doctor.