The lack of Interoperable healthcare data presents a major challenge, towards achieving ubiquitous health care. The plethora of diverse medical standards, rather than common standards, is widening the gap of interoperability. While many organizations are working towards a standardized solution, there is a need for an alternate strategy, which can intelligently mediate amongst a variety of medical systems, not complying with any mainstream healthcare standards while utilizing the benefits of several standard merging initiates, to eventually create digital health personas. The existence and efficiency of such a platform is dependent upon the underlying storage and processing engine, which can acquire, manage and retrieve the relevant medical data. In this paper, we present the Ubiquitous Health Profile (UHPr), a multi-dimensional data storage solution in a semi-structured data curation engine, which provides foundational support for archiving heterogeneous medical data and achieving partial data interoperability in the healthcare domain. Additionally, we present the evaluation results of this proposed platform in terms of its timeliness, accuracy, and scalability. Our results indicate that the UHPr is able to retrieve an error free comprehensive medical profile of a single patient, from a set of slightly over 116.5 million serialized medical fragments for 390,101 patients while maintaining a good scalablity ratio between amount of data and its retrieval speed.

中文翻译：

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Ubiquitous Health Profile (UHPr)：支持健康数据互操作性的大数据管理平台

缺乏可互操作的医疗保健数据对实现无处不在的医疗保健提出了重大挑战。大量不同的医疗标准，而不是通用标准，正在扩大互操作性的差距。虽然许多组织正在努力实现标准化的解决方案，但需要一种替代策略，该策略可以智能地在各种医疗系统之间进行调解，不遵守任何主流医疗保健标准，同时利用多个标准合并发起者的好处，最终创建数字健康角色。这样一个平台的存在和效率取决于底层的存储和处理引擎，它可以获取、管理和检索相关的医疗数据。在本文中，我们介绍了无处不在的健康状况 (UHPr)，半结构化数据管理引擎中的多维数据存储解决方案，为医疗领域异构医疗数据归档、部分数据互操作提供基础支持。此外，我们在其及时性、准确性和可扩展性方面展示了该平台的评估结果。我们的结果表明，UHPr 能够从 390,101 名患者的略多于 1.165 亿个序列化医疗片段中检索单个患者的无错误综合医疗档案，同时在数据量与其检索速度之间保持良好的可扩展性比。此外，我们在其及时性、准确性和可扩展性方面展示了该平台的评估结果。我们的结果表明，UHPr 能够从 390,101 名患者的略多于 1.165 亿个序列化医疗片段中检索单个患者的无错误综合医疗档案，同时在数据量与其检索速度之间保持良好的可扩展性比。此外，我们在其及时性、准确性和可扩展性方面展示了该平台的评估结果。我们的结果表明，UHPr 能够从 390,101 名患者的略超过 1.165 亿个序列化医疗片段中检索单个患者的无错误综合医疗档案，同时在数据量与其检索速度之间保持良好的可扩展性比。