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University of Oxford: Applied Digital Health
| Institution | University of Oxford |
|---|---|
| Department | Primary Care Health Sciences |
| Web | https://www.ox.ac.uk |
| graduate.admissions@admin.ox.ac.uk | |
| Telephone | +44 (0)1865 270059 |
| Study type | Taught |
MSc
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.
It should be noted that this MSc is not a computing or engineering course. While it does include significant content on the concepts underlying tools and technologies commonly used in digital health, it does not teach students how to programme digital health software.
**Course outline**
This course consists of eight compulsory modules and a dissertation.
Module titles are as follows:
- 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
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**For the full description, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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 |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
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.
**Course outline**
This course consists of eight compulsory modules and a dissertation.
Each module focuses on different ways in which digital health can be used to address the challenges facing twenty-first century healthcare. These solutions include clinical informatics for better surveillance of care quality and public health; harnessing electronic health data to improve diagnosis and prognosis; improving outcomes via remote patient monitoring and digital diagnostics; using digital tools to facilitate physical and cognitive behaviour change; implementing more efficient and effective models of primary care; reducing the cost of care.
Module titles:
- 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
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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 |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**multidisciplinary and expert led**
This applied, interdisciplinary MSc is led by the Nuffield Department of Primary Care Health Sciences (NDPCHS), capitalising on the existing breadth of internationally leading digital health research in the department. In addition, the course 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.
The course is further enriched by linking to the National Institute for Health Research (NIHR) Oxford & Thames Valley Applied Research Collaboration (ARC), which is hosted by NDPCHS (led by Theme Lead John Powell, Academic Director for this MSc), as well as the NIHR Community Healthcare MedTech and IVD Cooperative and the NIHR Oxford Biomedical Research Center.
**Who is this course designed for?**
Aimed at early or mid-career professionals, entrants to this course 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, you must have an interest in both the social and technical aspects of digital health.
This course consists of eight compulsory modules, each spanning a two-week block, and a dissertation. The academic year is split into three terms of eight weeks, however, assignments are not restricted to term time only.
The content will take a broad perspective on digital health, equipping students to be future researchers, policymakers, technology specialists or health practitioners. Wherever their particular interests may lie, we believe course graduates will be well placed to do pioneering work in the digital health sector.
**Modules:**
1. Foundations of Digital Health
2. Clinical Informatics for Trials and Health Surveillance
3. Harnessing Big Data to Improve Care
4. Remote Monitoring and Digital Diagnostics
5. Supporting Health Behavior Change using Digital Tools
6. Digital Transformation of Primary Care
7. Economics of Digital Health
8. User Focused Design and the Lifecycle of Digital Health Innovation
Each module focuses on a different way that digital health can be used to address the challenges facing twenty-first century healthcare. These solutions include clinical informatics for better surveillance of care quality and public health; harnessing electronic health data to improve diagnosis and prognosis; improving outcomes via remote patient monitoring and digital diagnostics; using digital tools to facilitate physical and cognitive behaviour change; implementing more efficient and effective models of primary care; reducing the cost of care.
| Level | RQF Level 7 |
|---|---|
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
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