AI and Digital Health Informatics Integration

Week 1: Foundations of AI and Digital Health Systems

• Introduction to AI, ML, and big data in healthcare

• Digital health architectures and system interoperability

• Health informatics standards: HL7, FHIR, and DICOM

• EHRs, telehealth, and mobile health (mHealth) platforms

Week 2: Data Science for Healthcare Applications

• Health data acquisition, cleaning, and integration

• Clinical data mining and pattern recognition

• Time-series and imaging data in diagnostics

• Deep learning models in biomedical signal processing

Week 3: AI-Driven Decision Support and Risk Modeling

• Clinical Decision Support Systems (CDSS)

• Predictive analytics for patient outcomes

• AI tools for early diagnosis and treatment planning

• Ethics, fairness, and bias in algorithmic healthcare

Week 4: Translational AI, Regulations, and Innovation

• • AI implementation in hospital and public health workflows

  • Regulatory frameworks (FDA, CE, NDHM) and data privacy

  • Case studies: Digital therapeutics, RPM, and virtual care

  • Future trends: Digital twins, federated learning, and explainable AI

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• Mastery of AI applications in healthcare settings
• Enhanced ability to analyze and manage large health data sets
• Practical skills in implementing AI-driven health informatics solutions
• Understanding of ethical and regulatory dimensions in digital health
• Capability to contribute to healthcare policy and strategy discussions