Course summary

The information provided on this page was correct at the time of publication (November 2022). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas. This course is taking part in a continuing pilot programme to improve the selection procedure for graduate applications, in order to ensure that all candidates are evaluated fairly. For this course, the socio-economic data you provide in the application form will be used to contextualise the shortlisting and decision-making processes. The multi-disciplinary MSc in Applied Digital Health is a one-year, full-time course, designed to teach the interdisciplinary knowledge and skills needed to drive innovation in the fast-growing area of digital health. Building capacity in digital health to support innovation and improved health The MSc led by the Nuffield Department of Primary Care Health Sciences (NDPCHS), combines front line clinical experience with theoretical and methodological expertise, whilst capitalising on the existing breadth of internationally leading digital health research in the department. In addition, this course recognises the interaction between technologies and people in healthcare and draws on the expertise of faculty from across the University to create an interdisciplinary learning experience, spanning medicine, social science, engineering, artificial intelligence and data science. Aimed at early- or mid-career professionals, entrants to the Applied Digital Health MSc will come from a wide range of backgrounds, including clinical medicine, public health, medical sociology, psychology, statistics, computer science and engineering. While no pre-existing knowledge is assumed, applicants must have an interest in both the social and technical aspects of digital health. Upon successful completion of the course graduates will be able to:

• discuss the drivers, enablers, barriers and challenges to digital health innovation, using real-world examples

• summarise the state-of-the-art in digital health tools – including digital therapeutics, digital diagnostics, artificial intelligence, learning health systems and those that facilitate automated care pathways or improved patient (self)management – and both explain and critically evaluate the theories and techniques that underlie them

• identify and formulate a response to the ethical, policy, regulatory and practice challenges facing digital health

• explain in detail the need for user-focused development, meaningful evaluation and successful implementation of digital health tools, and propose appropriate methods, actions and processes to meet these requirements

• describe and apply key qualitative and quantitative research methods used to study digital health care, as well as identify the strengths and weaknesses of those methods.

• Foundations of Digital Health

• Clinical Informatics for Trials and Health Surveillance

• Harnessing Big Data to Improve Care

• Remote Monitoring and Digital Diagnostics

• Supporting Health Behaviour Change using Digital Tools

• Digital Transformation of Primary Care

• Economics of Digital Health

• User Focused Design and the Lifecycle of Digital Health Innovation