Digital Healthcare Informatics and AI Specialization

4 course series

Course 1 - Health Informatics and Marketspace

This course provides an in-depth exploration of foundational health informatics and its critical role in modern healthcare. Participants will analyze the historical development and scope of health informatics, emphasizing the importance of data-driven decision-making in enhancing patient care and safety.

Course 2 - Healthcare Data Management and Interfaces

This course provides healthcare professionals and students in health informatics with a comprehensive understanding of healthcare data management and interfaces. Participants will learn about key standards such as CDA, CCD, and USCDI, and how to apply these standards to ensure accurate and interoperable health records. The course will also cover the differences between structured and unstructured data and their implications for patient care.

Course 3 - AI Integration in Healthcare Patient Data

This course delves into the integration of artificial intelligence (AI) within healthcare, focusing on patient data management. Learners will explore the ethical and policy considerations surrounding AI applications in clinical and public health settings.

Course 4 - Health Informatics Capstone & Innovation Project

This Capstone Project course is the culminating experience of the Digital Healthcare & AI Specialization. After completing the first three courses and building foundational knowledge in health informatics, healthcare data management, interoperability, and AI applications, learners will apply their accumulated knowledge and skills to complete a real-world project that demonstrates their mastery of the specialization.