- Overview: AI in patient data management involves organizing, analyzing, and securing patient information to improve healthcare delivery.
- Key Technologies: Data mining, NLP, blockchain, machine learning.
- Applications: Electronic Health Records (EHRs) management, patient data interoperability, real-time data analytics, predictive analytics for patient outcomes.
- Benefits: Enhanced data accuracy, improved patient care coordination, efficient data retrieval, better population health management.
- Challenges: Data security and privacy, interoperability between systems, data standardization.
- Case Studies: Epic Systems' AI-powered EHRs, IBM's blockchain for health data exchange, Philips' HealthSuite digital platform.
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