The data to decision path for infusion of AI in healthcare

סקירה כללית

This course explores AI’s role in healthcare decision-making, focusing on data integration, predictive intelligence, and operational impact. Learners will examine AI’s use in clinical and administrative functions, data governance, and workflow integration.

Through real-world examples, they will gain insights into AI’s potential, challenges, and strategic implementation in healthcare.

סילבוס

• The Role of AI in the Data-Information-Analysis-Decision (DIAD) Process in Healthcare
Covers how AI supports the DIAD pipeline, from raw data to informed healthcare decisions.
• Emphasizing Analytics in DIAD for Healthcare
Focuses on the centrality of analytics in transforming data into actionable insights for healthcare.
• AI and ML-Relevant Algorithms for Healthcare Models
Introduces fundamental AI and machine learning algorithms widely used in healthcare applications.
• AI-Relevant Complex Algorithms for Healthcare Models
Explores advanced AI algorithms designed for complex healthcare modeling challenges.

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נלמד על ידי

Jiban Khuntia

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נושאים

Computer Science