Digital Healthcare Informatics and AI

The Specialization in Digital Healthcare & AI is a four-course program designed to prepare professionals to lead at the intersection of healthcare, data, and artificial intelligence. The curriculum progresses from foundational health informatics and the healthcare marketspace, through data standards and interoperability, into applied AI systems, governance, and ethics, culminating in a hands-on innovation capstone focused on safe, context-aware AI. Learners gain a practical understanding of how healthcare data is created, standardized, exchanged, and reused; how modern AI techniques, including machine learning, NLP, generative models, and agents, are deployed responsibly; and how technical capability is translated into clinical, operational, and commercial value. Emphasis is placed on trust, explainability, regulatory alignment, and patient safety as AI becomes embedded in care delivery. The specialization is led by internationally recognized leaders in health informatics and digital medicine, including Frank Naeymi-Rad , John Halamka, MD (President, Mayo Clinic Platform), Charles Safran, MD (Harvard Medical School, Emeritus), Evan Sholle , and Curtis Cole . Graduates are prepared to design, evaluate, govern, and scale AI-enabled healthcare solutions, positioned to deliver value in a healthcare landscape evolving at exponential speed

• Learners gain a practical understanding of how healthcare data is created, standardized, exchanged,
• Reused; how modern AI techniques, including machine learning, NLP, generative models,
• Agents, are deployed responsibly
• How technical capability is translated into clinical, operational,
• Commercial value

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work