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 Douglas College Evaluation 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.