Lecture: 4 hours per week
or
Hybrid: 2 hours/week in class and 2 hours/week online
In this course, students engage in a variety of learning activities such as lectures, case study analysis, independent research, exercises, training on data classification technology, participant presentations, classroom discussions and guest speakers.
- Health data concepts and information governance
- The major users of health care data
- The steps in the decision-making process with a focus on data collection
- Health data needs across the health care continuum
- The public and private sector use of health care data
- The fundamental concepts of health informatics including data, knowledge and information
- The formulation of data dictionaries in compliance with data standards for health information systems
- The data governance and benefits to the health sector
- The health information exchange: framework, governance and application to health data and information
- Privacy controls for access, use and disclosure of health data and information
At the end of the course, successful learners will be able to:
- identify salient health data and information needs across the health care continuum;
- describe how public and private organizations use health care data to assess costs, quality and patient outcomes;
- discuss the the methods used to formualte a data dictionary;
- discuss the concept of data governance and the benefits it provides to health care organizations;
- identify health information exchanges and public health population-based data;
- outline the uses of data and information and the related privacy controls for access, use and disclosure.
The course evaluation is consistent with the ÌÇÐÄvlog´«Ã½Evaluation Policy. An evaluation schedule is presented at the beginning of the course. This is a graded course. All assignments must be completed to pass the course.
A list of required and optional textbooks, materials and electronic applications is provided for students at the beginning of each semester.