Lecture: 4 hours/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.
- Analysis of concepts involved in facilitating healthcare interoperability, applying standards to emerging technologies.
- Exploration of the central role of standards in healthcare interoperability.
- Application of the fundamental concepts related to the flow of data within and across healthcare organizations.
- Examination of the application of health systems interoperability standards.
- Analysis of the connection between innovation, aspects of patient health outcomes and health data.
- Exploration and analysis of concepts of human computer interface.
At the end of the course, the successful student will be able to:
- explain the central role of standards in healthcare interoperability;
- analyze the process for implementing and maintaining standards at the organizational level by mapping codes from local to standard use;
- assess utilization of data coding standards and terminologies to support clinical decision making;
- describe the factors, issues and solutions relevant to the design of healthcare technologies;
- analyze and summarize the literature of and tools used in healthcare human computer interface;
- identify the major privacy concerns related to an interoperable health record.
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.