Title: Health data warehouses: reviewing advanced solutions for medical knowledge discovery

Authors: Norah Saleh Alghamdi

Addresses: Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Saudi Arabia

Abstract: The implementation of a data warehouse and a decision support system by utilising the capabilities of information retrieval and knowledge discovery tools in the healthcare fields has allowed for the enhancement in the offered healthcare. In this work, we present a review of recent data warehouses and decision support systems in the healthcare domain with their significance, and applications of evidence-based medicine, electronic health records, and nursing. Given the growing trend on their implementation in healthcare services, researches, and education, we present here the most recent publications that employ these tools to produce suitable decisions for patients or health providers. For all the reviewed publications, we have intensively explored their problems, suggested solutions, utilised methods, and their findings. We have also highlighted the strength of the existing approaches and identified potential drawbacks including data correctness, completeness, consistency, and integration to provide proper medical decision-making.

Keywords: data warehouses; data mining; health data; medical records; quality; knowledge discovery; OLAP.

DOI: 10.1504/IJBIDM.2021.115953

International Journal of Business Intelligence and Data Mining, 2021 Vol.19 No.1, pp.1 - 32

Received: 10 Dec 2017
Accepted: 22 Nov 2018

Published online: 11 Jun 2021 *

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