Offered in the winter term – Winter 2023 – Online Synchronous

Prerequisite: Enrolment in the MSc eHealth program or permission of the instructor

This course covers basic statistical concepts and techniques as they apply to the analysis and presentation of data in eHealth practice. The course includes graphical presentation of data, elementary probability, descriptive statistics, and probability distributions. Statistical inferencing techniques, including statistical decision theory, confidence intervals, hypothesis tests (z-tests, t-tests, and non-parametric methods), ANOVA, contingency tables, chi-square tests, correlation, and simple and multiple regression. Students will analyze data gathered from eHealth studies and will review examples drawn from published eHealth research.

Offered in the fall term – Fall 2022 – In person only

This tutorial-based course will cover a broad range of eHealth topics from the perspective of health care delivery. Topics include a definition of eHealth; health care data; hospital and primary care information systems (i.e. electronic health records [EHR] systems); specialty components of an EHR system; how healthcare professionals use data; human/cognitive factors in development and implementation of eHealth applications; standards, vocabulary and nomenclatures and how used; aggregation of health information; patient information systems and consumer eHealth; research and evaluation of eHealth applications and using eHealth applications; implementation issues and privacy, security, and confidentiality; and the future of eHealth.

Offered in the fall term – Fall 2022 – In person only

This course covers a number of topics relevant to the management of electronic health systems. The topics will be presented in an integrated manner that will promote an understanding of health system governance, project management, accountability, risk analysis, management, ethical, privacy, legal and regulatory standards, and policies. It will demonstrate real issues by focusing on a team-based case study through much of the course that covers the life cycle process of managing a project to implement an eHealth system, beginning with needs analysis and ending with implementation, evaluation and maintenance.

Offered in the fall term – Fall 2022 – In person only

This course exposes the graduate students in software engineering, computer science, and eHealth programs to the challenges in the field of electronic health (eHealth). The course introduces a collection of modern architectures and technologies that are recommended by standardization organizations to build the infrastructure that meets the emerging demands in the growing network of healthcare systems. The topics include: standard healthcare data and service representations; clinical terminology systems; web services and service oriented architecture; decision support systems; data mining techniques on clinical data; data and knowledge interoperability; security and privacy techniques, and; healthcare application development environments.