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Leveraging Artificial Intelligence in Real-World Data and Real-World Analytics: A Paradigm Shift in Healthcare Decision-Making
1
Zitationen
2
Autoren
2025
Jahr
Abstract
AI is omnipresent. It is present in both Real-World Data (RWD) and Real-World Analytics (RWA). AI also provides innovative solutions to address challenges such as data diversity, volume, and complexity. This paper discusses the strategic application of AI methods, including natural language processing, machine learning, and deep learning, to enhance the quality, integration, and analysis of real-world data. These advancements help in regulatory decisions, Healthcare innovation, and making medicine more personalized for individuals. The paper highlights how AI-powered Real-World Analytics (RWA) can influence treatment outcomes, ensure drug safety, and support public health management. It also demonstrates how AI can accelerate evidence collection and support decision-making in clinical practices and policies through comprehensive case studies and innovative techniques.
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