AI ANALYSIS
Artificial intelligence in early warning systems for infectious disease surveillance: a systematic review
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Executive Impact
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Methodology
This section details the systematic review process, highlighting the rigorous steps taken to identify and select relevant studies on AI applications in early warning systems for infectious disease surveillance.
Systematic Review Process Flow
Identification of studies via databases and registers
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Records screened
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Reports sought for retrieval
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Reports assessed for eligibility
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New studies included in review
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Implementation Roadmap
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Phase 1: Discovery & Strategy
Initial assessment of current systems, data infrastructure, and business objectives. Development of a tailored AI strategy and proof-of-concept.
Phase 2: Pilot & Integration
Deployment of AI solutions in a controlled environment, integration with existing workflows, and initial performance tuning.
Phase 3: Scaling & Optimization
Full-scale rollout across the enterprise, continuous monitoring, and iterative optimization for peak performance and sustained ROI.
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