[E4] AI for Healthcare & Life Sciences

Description:
This course equips healthcare administrators and clinicians with the knowledge and tools to integrate AI into healthcare systems. Participants will learn how AI supports diagnostics, patient engagement, workflow automation, and compliance with healthcare regulations.

Why: Applied AI in healthcare — focus on workflow and data.

Tools: BioGPT, Glass AI, IBM Watson Health, EHR add-ons.

Outcomes:

• Automate medical note summarization.
• Apply predictive health models.
• Improve patient workflows with AI.

Course Outline:

• Module 1: AI in Healthcare Today (3 hrs)
  • AI applications in diagnostics and patient management.
  • Tools: IBM Watson Health, PathAI, Tempus, Corti.

• Module 2: Patient Engagement & Monitoring (4 hrs)
  • AI-powered chatbots and virtual assistants for patients.
  • Remote monitoring with wearable AI integration.

• Module 3: Operational Efficiency (4 hrs)
  • Workflow automation in healthcare administration.
  • Predictive analytics for resource allocation.

• Module 4: Ethics & Compliance (4 hrs)
  • HIPAA, GDPR, and AI-specific healthcare risks.
  • Capstone: design an AI-powered patient support system.

Learning Outcomes:

• Apply AI to improve patient care and diagnostics.
• Use AI for patient engagement and monitoring.
• Automate administrative tasks in healthcare.
• Build predictive models for hospital resource planning.
• Address ethical and compliance issues in AI healthcare use.

Course Development Lead:
Dr. Morris is a Healthcare innovator with 18 years in digital health and AI applications, advising hospitals and startups on AI-powered patient solutions.