Course Formats
Course Schedules are Subject to Change
Required
WinterSpringSummerFall
Healthcare AnalyticsThis course will introduce students to health informatics and advanced analytics through core technologies, data analytics (computational and analytical methods). Topics include a review of how health information technology improves patient care outcomes and enhances the health delivery system’s performance. The course will provide students opportunities to evaluate health informatics applications within the healthcare and public health landscape. Specific topics will include an overview of the health informatics concept and related terminologies, data standards, security and confidentiality, health information exchanges, population health management, health data analytics, consumer health informatics and emerging health informatics innovations.
Health Data Acquisition, Analysis and ManagementThis course will provide students with an understanding of information generated through the research, delivery, and management of public and private healthcare services. Topics emphasize how leveraging this information can generate better healthcare outcomes while upholding privacy, regulatory, and ethical standards. Students will examine the challenges connecting disparate data sources for rigorous analysis using best practices and toolsets. The experience of working through these challenges with accurate data will provide a deeper understanding of our healthcare systems and insights into building confidence in the analysis that can lead to improved public health.Specific topics will include an overview of the healthcare information landscape, how information is used in different healthcare settings, healthcare information standards (such as the ICD standard and its history), healthcare interoperability standards, which enable the sharing of critical healthcare information across providers and settings, ethical considerations in the use and sharing of healthcare information, governance of healthcare information, the architecture of modern healthcare systems, and the practice of obtaining, standardizing, and connecting various and disparate data sources.
Public Health InformaticsThis course aims to provide an overview of public health informatics and its role in public health services. It will address topics such as common skills and knowledge needed for public health informatics professionals, the intrinsic values of public health informatics standards and ethics related to specific laws, surveillance and security in public health, the application of big data and data processing concepts to public health data, the importance of project management in public health informatics, and information systems used to support epidemiological investigation and disease prevention. This course will culminate in a final project that combines the core skills learned throughout the program to develop a comprehensive public health informatics plan.
Data Visualization and AI Machine Learning for HealthThis course introduces topics on visualization techniques and AI Machine learning tools that are necessary to facilitate the decision-making process to improve healthcare outcomes and support strategic and operational decisions. Students review data basic concepts, principles, methods, design and implementation techniques, and applications of data visualization models and AI applications. Students gain core competency skills in using processed datasets, compatible with creating visualization and AI machine learning tools such as dashboards, executive summaries, and clinical and operational applications to optimize clinical and business outcomes.
