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Design of a clinical database to support research purposes: Challenges and solutions

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journal contribution
posted on 2021-06-01, 04:37 authored by Halima Edris Samra, Alice LiAlice Li, Ben SohBen Soh
The aim of this paper is to propose solutions to challenges faced by database systems for clinical research purposes. Current clinical databases are primarily based on data acquisition for healthcare intentions. However, these healthcare databases lack the data analysis capability for clinical researchers. In order for clinical researchers to use the healthcare databases in an effective manner, such as in their clinical trial studies, challenges of data integration, data storage, and data retrieval in the current healthcare database settings need to be overcome. Our proposed solutions include using: 1) NoSQL to efficiently integrate clinical databases with legacy healthcare databases, (2) entity attribute value model for data retrieval, and (3) warehouse for big data storage.

History

Publication Date

2021-03-01

Journal

International Journal of Advanced and Applied Sciences

Volume

8

Issue

3

Pagination

(p. 21-29)

Publisher

Institute of Advanced Science Extension

ISSN

2313-626X

Rights Statement

The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

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