Advances in AI and their adoption within healthcare stand poised to revolutionize the industry. Introduction to AI in Healthcare from the Digital Data Design (D^3) Institute at Harvard and the Digital Data Design Institute at Nova SBE and NOVA Medical School will equip you to:
- Understand the current state of AI in the healthcare industry, and the potential for AI to drive significant change
- Gain a global perspective on the latest research, policy, and practice that is being undertaken pertaining to AI and healthcare
- Explore key affordances and challenges of implementing AI for medical care, such as diagnosis, treatment, and healthcare professional development
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Part 1: Understanding AI’s Role in Healthcare
Watch: Demystifying AI in Healthcare and Capturing its Transformative Potential
Watch: AI to Measure, Decide, and Execute
Reflect: Thinking about the examples outlined in the prior videos, which of the categories of AI usage would be most helpful in augmenting your organization’s healthcare processes?
- Measure (e.g. integrating data sources, improving diagnostics)
- Decide (e.g. generate personalized testing/treatment recommendations)
- Execute (e.g. deliver and optimize treatments)
Watch: Types of AI and Their Relevance in Healthcare Applications
Watch: History of AI in Healthcare
Factors to Consider when Deciding on an AI Solution in Healthcare
DATA QUALITY AND AVAILABILITY
Clinical Validation
Workflow Integration
Strong Ethical Foundations and Regulatory Compliance
Human Input and Oversight
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