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Regulatory compliance By integrating the extracted insights and recommendations into clinical trial management systems and EHRs, this approach facilitates compliance with regulatory requirements for data capture, adverse event reporting, and trial monitoring. Solution overview The following diagram illustrates the solution architecture.
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Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security. In this post, let’s understand the growing role of AI in data governance, making it more dynamic, efficient, and secure. You can connect with him on LinkedIn.
Data Processing: Performing computations, aggregations, and other data operations to generate valuable insights from the data. Data Integration: Combining data from multiple sources to create a unified view for analysis and decision-making.
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Job roles span from Data Analyst to Chief Data Officer, each contributing significantly to organisational success. Challenges such as technological shifts and ethical dilemmas require continuouslearning and adaptability. They enforce policies, ensuring dataquality, security, and compliance.
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