IPHI 852 Health Data Theory and Practice
Data science concepts and database theory as related to healthcare settings will be introduced. Simple database modeling, design, and manipulation will be explored using a database management system and a query language. Key data science methods, such as data wrangling and visualization, will be leveraged for decision making. Prerequisite: None.
Health Informatics Certificate
Emerging technologies are fundamentally changing the way we manage and apply knowledge. In addition, healthcare organizations must meet the challenges of the HITECH Act and HIPAA, as well as regulatory influences. As a result, the need for trained healthcare informaticians has increased dramatically over the last few years. In order to appropriately select and use technology to improve healthcare and to meet the requirements of regulating bodies, health informatics professionals need training in the use of informatics concepts and methodologies.
Master of Science in Health Informatics
Professionals in applied Health Informatics have skills in analysis, design, implementation, and evaluation of information systems that support a full range of clinical and patient care functions. Graduates will be prepared for entry and mid-level positions with hospital or clinic informatics departments, electronic health record (EHR) vendors, public health organizations, and as consultants and/or staff in organizations that specialize in knowledge management. Graduates also have the skills to enter the growing field of health information exchange, which includes regional health information organizations and the emerging personal health records. In addition to a foundation in applied health informatics, special skills will be acquired in organizational change, project management and impact evaluation. This is an interprofessional program administered by the Center for Health Informatics , which is sponsored by the School of Nursing.