Data mining in the time of COVID-19

Date
2020-12-11
Authors
Okasha, Ahmad
Kamalov, Firuz
Hamidi, Samer
Roberts, Claire
Abdulnasir, Safa
Journal Title
Journal ISSN
Volume Title
Publisher
PalArch Foundation
Abstract
Healthcare organizations, like other organizations, are facing a major global challenge. In a recent Mckinsey survey (From “wartime” to “peacetime”: Five stages for healthcare institutions in the battle against COVID-19, 2020), many consumers indicated that the COVID 19 pandemic has the most significant challenge on their economic and social lives in the last 100 years. Being patient centric rather than reactive is one of the ways to succeed in this uncertain environment. Being patient centric means to identify the needs of patients and design specific programs to address their needs whether they are financial, personal, or clinical. COVID-19 accelerated utilizing data and online applications. Many healthcare organizations have access to consumer related data. Data mining capabilities provide health care organizations with the ability to extract hidden predictive information from large databases. The paper surveyed hospital Chief Information Officers (CIO), health information managers, and healthcare managers to find out measure awareness of data mining applications in healthcare and to determine the use and reason for data mining applications in healthcare. The results indicate that many healthcare organizations are aware of descriptive and simple data mining tools. For more sophisticated data mining tools, most healthcare organization managers in the Middle East as expected are not aware of them. When it comes to using data mining as an application for disease diagnoses, marketing, and education simulation, many healthcare managers indicate that they are already using data mining in these areas. © 2020 Ahmad Okash, Firuz Kamalov, Samer Hamidi, Claire Roberts, Safa Abdulnasir
Description
This article is not available at CUD collection. The version of scholarly record of this article is published in PalArch’s Journal of Archaeology of Egypt / Egyptology (2020), available online at: https://www.archives.palarch.nl/index.php/jae/article/view/3222
Keywords
Micro Business Unit, Competitive Strategy, Performance
Citation
Okasha, A., Kamalov, F., Hamidi, S., Roberts, C., & Abdulnasir, S. (2020). Data mining in the time of COVID-19. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(8), 224-248. https://www.archives.palarch.nl/index.php/jae/article/view/3222