AI and machine learning are transforming real-world data (RWD) quality by enhancing accuracy, completeness, and utility in healthcare. These tools address challenges in clinical trials, diagnosis, drug discovery, and precision medicine through advanced analytics, NLP, and federated learning. AI-driven data governance, imputation, duplication checks, and image standardization improve reliability, coherence, and relevance of data. They also support remote monitoring and telehealth. Ensuring ethical implementation, domain expertise, and stakeholder education is critical. AI’s expanding role promises better decision-making, reduced costs, and improved outcomes across healthcare ecosystems.

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