Analysis reveals real-time data improves resource allocation and health outcomes, indicating better decision-making in public health care.
Modern BI technology represents a fundamental transformation from conventional siloed data systems to unified, agile, and user-motivated platforms. Effective implementation of this technology in public healthcare data management generates a myriad of benefits. BI is capable of analyzing real-time data to forecast illness outbreaks. This enables targeted intervention and proactive allocation of resources. Supply-chain streamlining using data allows managing staff and decreasing administrative overhead. Correlation of patient information with therapeutic protocols by BI allows implementation of best practices and areas of improvement. These lead to esteem health outcomes. The paper uses above insights for developing an efficient BI architecture design to unify BI stack with public healthcare data in cloud. This is featured with scalability, self-service, and faster development of precise data outcomes, and implementing initiative-taking decision-making.
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Mani Kanta Pothuri (2025) studied this question.
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