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Real-Time Analytics in Healthcare Data Lakes for Risk Management and Patient Safety

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Implementation of real-time analytics improves clinical decision-making and risk management in healthcare settings.

Real-time analytics enhances patient outcomes by enabling timely clinical interventions and proactive strategies.
Substantial improvements in clinical decision-making are observed, highlighting reduced diagnostic errors and faster responses.
Advanced data management frameworks, including machine learning, handle high-speed healthcare data effectively.
Implementing these solutions requires thorough planning and stakeholder engagement to address technical and organizational challenges.

Rajendra Prasad Urukadle (2025) studied this question.

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