Course summary

The information provided on this page was correct at the time of publication (November 2023). 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. The 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. The MSc is led by the Nuffield Department of Primary Care Health Sciences (NDPCHS). The course combines front line clinical experience with theoretical and methodological expertise, capitalising on the breadth of internationally leading digital health research in the department. In addition, recognising the interdisciplinary nature of digital health, the MSc draws on the expertise of faculty from across the University, spanning medicine, social science, engineering, computing and data science. Aimed at early-career professionals, entrants to the Applied Digital Health MSc will come from a wide range of backgrounds, including (but not limited to) clinical medicine, medical sociology, psychology, statistics, computer science and engineering. No pre-existing knowledge is assumed, although applicants must have an interest in both the social and technical aspects of digital health. The breadth of content means that this MSc is not suitable for applicants who wish to focus their studies on only one component of the digital health field. 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

• Real World Data for Disease Surveillance and Quality Improvement

• Harnessing Big Data for Clinical Decision Support

• 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