Resolving data interoperability in ubiquitous health profile using semi-structured storage and processing

Document Type

Conference Proceeding

Source of Publication

Proceedings of the ACM Symposium on Applied Computing

Publication Date

1-1-2019

Abstract

© 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

ISBN

9781450359337

Publisher

Association for Computing Machinery

Volume

Part F147772

First Page

762

Last Page

770

Disciplines

Computer Sciences

Keywords

ACM proceedings, Text tagging

Scopus ID

85065664658

Indexed in Scopus

yes

Open Access

no

Link to Full Text

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