healthcare.digital October 28, 2024
Exec Summary:
Trust Integration Engines (TIEs) are essential tools in modern healthcare systems. They serve as intermediaries, facilitating the secure and efficient exchange of health data between different systems and organisations. This is particularly crucial in the context of healthcare AI, where large datasets are required to train and validate machine learning models.
Key Roles of TIEs in Healthcare AI:
Data Aggregation: TIEs collect data from various sources, including electronic health records (EHRs), medical devices, and research databases. This aggregation enables the creation of comprehensive datasets that are essential for training AI models.
Data Standardisation: TIEs ensure that data is standardized and harmonized, which is crucial for AI algorithms to process and analyze information accurately. This...
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