This course explores the foundations of population health informatics, including information architecture; data standards and confidentiality as they pertain to population health management. This course examines key concepts related to registries, electronic health records, epidemiological databases, biosurveillance, health promotion, and quality reporting in population health management.
This modular course focuses on basic programming skills for Python, R, and C++. It will cover key features of each including conditional statements, loops, data structures, basic data processing and analysis, basic data visualization, and object-orientation programming.
Introduction to concepts and practices of health informatics. Topics include: a) major applications and commercial vendors; b) decision support methods and technologies; c) analysis, design, implementation, and evaluation of healthcare information systems; and d) new opportunities and emerging trends.
Step into the role of a data consultant and use data to facilitate change in healthcare research, quality improvement and patient outcomes, and population health. Data consultants act as the bridge between the leadership and project stakeholders, and the data analysts to help in translating the data into actionable results. Their expertise lies in effective communication, scoping of projects, and needs assessment. They examine data, processes and technologies to evaluate current state and critical problems.
This course provides an introduction to the principles and practical approaches of bioinformatics as applied to genes and proteins. The overall course content is broken down into 3 sections focusing on introductory programming and data management, statistics, and systems biology, and respectively.
Real health data is complex, often unstructured, at times inaccurate, inconsistent, contains missing values, and is organized for clinical care rather than to meet analytic needs. Learning from health data requires a solid grasp of data operations, data visualization, statistics, and machine learning, as well as an understanding of ethical and legal frameworks guiding health data privacy and security.
This course covers relational database theory and database-web systems with applications to health care. The students are expected to develop a working knowledge of design, implementation, administration and maintenance of small to medium relational database systems. The students will also be exposed to current technology for deployment, use and administration of relational databases through the Internet.
This course examines the history of race and racism in medicine and healthcare in the United States and is divided into five generally chronological modules: (1) Critical Race Theory and Intersectionality; (2) Racial Ideologies and the Construction of Race, (3) Racialized Slavery and the Paternalism of Care; (4) Race-based Medical Care and Civil Rights in the 20th Century; and, (5) Health Justice in the 21st Century. Each module will approach the history of race and racism in medicine across time to understand 1) how race and racism were foundational to the development of medicineand its va
This course will introduce the critical policy issues related to the use of Health Information Technologies (HIT) with a primary focus on the U.S. The course will explore issues from both a national perspective as well as the perspective of organizations that use these system.
***Note: Previously offered as an approved topic under ENTR 599
Learn the Emotional Intelligence framework to better understand and manage yourself and others, and build strong relationships and lead teams. Develop your own Personal Leadership Plan to help you "level up" as a graduate professional.