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Courses - Faculty of Medical And Health Sciences

Digital Health

Postgraduate 700 Level Courses

15 Points

Principles of Digital Health

The study of information technology and information management concepts relevant to the delivery of high quality and cost-effective healthcare. Theoretical frameworks such as data management, decision support, strategic planning and implementation, change management, knowledge management and privacy and other ethical aspects of digital health are included.

Restriction: HLTHINFO 728

15 Points

Health Knowledge Management

Analyses the role and dynamics of knowledge in the working environment in the health sector, and develops aspects of knowledge infrastructure.

Restriction: HLTHINFO 723

15 Points

New Zealand Health Data Landscape

An overview of key issues to support the appropriate and effective use of large volumes of routinely collected data to drive improvements in the delivery of health care. Ethical and equitable use of health data, critical evaluation of health data, identification of analytic methods and appropriate interpretation to support health care decision-making are discussed. Specific datasets are not analysed.

Restriction: HLTHINFO 725

15 Points

Healthcare Decision Support Systems

Familiarises students with the main developments of decision support systems in healthcare. The theoretical concepts and the technology including data mining, clinical decision support systems, diagnostic systems and decision support in managed care are outlined. Ethical issues are also addressed.

Restriction: HLTHINFO 730

15 Points

Digital Health Design and Evaluation

Examines the design and development of digital health tools to meet end-user and health service needs. A series of case studies are used to illustrate the different stages of digital health tool development, evaluation, and implementation. Health service, researcher and end-user perspectives are covered.

15 Points

Health Data Analytics

Analyses, interprets, and presents quantitative data to assist decision making in the health sector. Fundamental elements of statistics, data management, visualisation, epidemiology and computing are covered.