Resolving data interoperability in ubiquitous health profile using semi-structured storage and processing
Source of Publication
Proceedings of the ACM Symposium on Applied Computing
© 2019 Association for Computing Machinery. Advancements in the field of healthcare information management have led to the development of a plethora of software, medical devices and standards. As a consequence, the rapid growth in quantity and quality of medical data has compounded the problem of heterogeneity; thereby decreasing the effectiveness and increasing the cost of diagnostics, treatment and follow-up. However, this problem can be resolved by using a semi-structured data storage and processing engine, which can extract semantic value from a large volume of patient data, produced by a variety of data sources, at variable rates and conforming to different abstraction levels. Going beyond the traditional relational model and by re-purposing state-of-the-art tools and technologies, we present, the Ubiquitous Health Profile (UHPr), which enables a semantic solution to the data interoperability problem, in the domain of healthcare1
Association for Computing Machinery
ACM proceedings, Text tagging
Satti, Fahad Ahmed; Khan, Wajahat Ali; Lee, Ganghun; Khattak, Asad Masood; and Lee, Sungyoung, "Resolving data interoperability in ubiquitous health profile using semi-structured storage and processing" (2019). All Works. 2953.
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