DIGIHLTH (Digital Health)
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DIGIHLTH 701 - Principles of Digital Health (15 pts)🏳
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
DIGIHLTH 702 - Health Knowledge Management (15 pts)🏳
Analyses the role and dynamics of knowledge in the working environment in the health sector, and develops aspects of knowledge infrastructure.
Restriction: HLTHINFO 723
DIGIHLTH 703 - New Zealand Health Data Landscape (15 pts)🏳
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
DIGIHLTH 704 - Artificial Intelligence in Healthcare (15 pts)🏳
Familiarises students with the main developments and applications of artificial intelligence in healthcare. The theoretical concepts and the technology including predictive and generative artificial intelligence are outlined. Governance issues are also addressed.
Restriction: HLTHINFO 730
DIGIHLTH 705 - Digital Health Design and Evaluation (15 pts)🏳
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.
DIGIHLTH 706 - Health Data Analytics (15 pts)🏳
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. Health Management