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Abstract
The COVID-19 pandemic has underscored the need for powerful and well-coordinated crisis systems backed by data more than ever. Because the health, transportation, security, and communication sectors did not share their data, responding to global health emergencies took much longer than it should have. This article introduces a novel method that brings together data across sectors and uses artificial intelligence (AI) to enhance pandemic preparations. The paper draws on examples such as South Korea’s tracking of both health and telecom data and AI solutions like Blue Dot to explain the main methods used for standardizing data architecture and forecasting diseases. Using comparison and visual representation, the article shows how to turn separate datasets into useful intelligence. The suggested plan suggests forming smart partnerships between the government, healthcare, and technological sectors and using scalable infrastructure and ethical data rules. With five tables and three visualizations, this article provides new insights into preparing systems for digital risks and reducing these risks. These ideas are particularly valuable to the global community in terms of crisis resilience and solidify the author’s strong capabilities and influence around AI, public health, and systems engineering.
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