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Research Article | Volume 3 Issue 2 (July-Dec, 2022)
The Effectiveness of DSS to Improve Decision in Handling COVID-19: A Literature Review
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Under a Creative Commons license
Open Access
Published
Aug. 10, 2022
Abstract
Background: COVID-19 has become a severe global public health crisis. The government, public and private institutions face obstacles in handling the issue. So that in solving problems during this pandemic, it is essential to implement a Decision Support System (DSS) in proposing the decision-making to be aligned, efficient, and practical. It includes tracking, reporting, locking down management, and preparing strategies for dealing with covid-19. Objective: The purpose of this study is to review the role of decision support systems in decision-making during the COVID-19 pandemic. Methods: The method is a literature review. It evaluates several previous research related to the role of DSS in handling Covid-19. Scientific articles are compiled to obtain reliable data. The primary data are in the form of national and international journals. It was obtained through electronic-based searches with sources indexed by SINTA, such as Google Scholar and Elsevier. The keywords "role, application, DSS, policy, handling, covid-19" in Indonesian or English are searched through the engine. Journals or articles will then be re-filtered by shorting the results, methods, and text. The papers were collected and analyzed in the period May-June 2022. Result: The benefits in effectiveness were widely felt at the time when DSS was applied. The percentage value is 28%. The percentage in accuracy and efficiency is 25%. DSS also provides a short time to analyze the data to support the decision-making. The percentage value is 22%. Furthermore, a decision support system in an institution can reduce the workload. Conclusion: The decision support system can benefits companies or health facilities during the pandemic. The review results that various DSS methods developed in different parts of the world positively affect the decision-making process in handling COVID-19. Based on this review, the DSS used in decision-making varies widely, ranging from the DSS method used to assist management decisions such as lock down management, information systems for determining vaccine types, vaccine administration priorities, and monitoring the distribution of humanitarian aid. While in the health care sector, DSS plays a role in patient risk assessment, identifying patients with comorbidities, helping to measure vital signs, and supporting laboratory examinations in treating COVID-19.
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