Dr Edward Meinert
Associate Professor of eHealth
School of Nursing and Midwifery (Faculty of Health)
Edward studied Software Engineering at the University of Oxford (Exeter College). Subsequently, he became a technology consultant advising a global portfolio of companies in the implementation of complex information systems, including John Hancock Financial Services, MetLife, Dimension Data, BG Group and Scottish Southern Energy. In 2009 Edward returned to Oxford to complete a Master of Business Administration and began consulting for the public sector, including projects with NHS Professionals, the General Medical Council, Civil Service Learning and The Salvation Army. Following further study for a Bachelor of Arts (reading Theology and Religious Studies) at the University of Cambridge (Hughes Hall) and a Master of Public Administration at the London School of Economics, he earned a PhD (reading Clinical Medicine Research) from the Department of Primary Care and Public Health, Imperial College London. Edward was supervised by Professor Josip Car and Professor Azeem Majeed, investigating factors impacting cost measurements of online learning in health professions education. In August 2017 he was appointed Sir David Cooksey Fellow in Healthcare Translation at the Department of Paediatrics, University of Oxford, where his research focused on digital health in child health. Edward began his appointment at the Centre for Health Technology, University of Plymouth, as Associate Professor of eHealth from September 2020. In August 2021 he became a degree candidate for a Master of Public Health at the Harvard T.H. Chan School of Public Health, Harvard University. Edward is an author of over 60 publications (including 15 first-author and 45 corresponding-author manuscripts), a patent application and has been awarded nine prizes.
Prospective PhD Students
I am accepting home (UK), and international PhD students from MSc trained: health and social care professionals, engineers or psychology specialists keen to change the world by using technology to enable health and care. My interests include clinical artificial intelligence, digital health, child health, neurodegenerative diseases, obesity, preventive medicine and public health. My expertise in research design is in implementation science and mixed methods.
Contact me if you are interested in doctoral study and need support in finding funding for a PhD scholarship. If you have funding, contact me to start your PhD journey. When emailing me, please closely review my publication history and prepare a one-page research abstract for your proposed PhD project.
Master of Arts (MA), University of Cambridge
Master of Arts (MA) by incorporation, University of Oxford
Master of Science (MSc) in Software Engineering, University of Oxford
Master of Business Administration (MBA), University of Oxford
Master of Public Administration (MPA), London School of Economics and Political Science
Doctor of Philosophy (PhD), Imperial College of Science, Technology and Medicine
Chartered Engineer (CEng), Engineering Council
European Engineer (EUR ING), European Federation of National Engineering Associations
Fellow, British Computer Society
Roles on external bodies
Editor-in-Chief, JMIRx | Med
Associate Editor, SAGE Digital Health
Independent Chair, NIHR HS & DR Programme (Project NIHR129082) - Digital alerting to improve sepsis detection and patient outcomes in NHS Trusts
Guest Editor, IoT, Edge Computing and AI: Enabling Emerging Intelligent Applications, MDPI Electronics
Honorary Senior Lecturer, Department of Primary Care and Public Health, Imperial College of Science, Technology and Medicine
Visiting Senior Lecturer, Institute for Women and Children's Health, King's College London
APP758 Advanced concepts in research
- Mixed-methods evaluation
- Critical thinking
- Writing the literature review
In addition to his formal teaching, Dr Meinert lectures on data science (real world evidence) and software engineering (requirements engineering, software development management).
Dr Edward Meinert is a Chartered Engineer with extensive experience in the implementation of complex information systems. Dr Meinert's research is centred on the software engineering and evaluation of digital technology in healthcare. His primary research interests include clinical artificial intelligence, robotic process automation and digital health, with a primary aim to enhance population health insight. He is particularly interested in applications to novel regulatory and therapeutic contexts, such as adaptive and long-term trials focused on preventive medicine, where there are significant opportunities to derive insight from improved data analytics and where standards are emerging.
The use of health information technologies (HITs) has been associated with positive benefits, such as improved health outcomes and enhanced health services. Results from empirical studies report potential benefits of HITs in preventive medicine measures such as primary prevention. While there are significant efforts underway to establish frameworks to manage digital services, there is much work required to determine how these technologies can be used to improve health outcomes sustainably. Dr Meinert aims to develop evidence to inform improvement in the design of technologies and to influence policy to promote the adoption of systems that achieve positive health impact.
- Technology & Innovation Strategy
- Ethics (Philosophy)
Grants & contracts
- Parkinson's UK | Non-Drug Approaches: The impact of a digital system on the monitoring and self-management of non-motor symptoms in People with Parkinson’s
- National Institute for Health and Care Research (NIHR) | Artificial Intelligence in Health and Care Award: Real world testing of an artificial intelligence-enabled app as an early intervention and support tool in the mental health referral care pathway
- Health Education England: Phase I Pilot Study of an Obesity Prevention Implementation Digital Programme
- National Institute for Health and Care Research (NIHR) | Artificial Intelligence in Health and Care Award: Autonomous Telemedicine - Cataract Surgery Follow-up at Two NHS Trusts
- Health Education England: Feasibility study of the "NoObesity" Digital Health App
- Horizon2020 | European Institute of Innovation and Technology (EIT): Digital Activity Line
- Horizon2020 | European Institute of Innovation and Technology (EIT): Data Science for Healthcare - Using Real World Evidence
- Higher Education Funding Council for England (HEFCE): Small scale, 'experimental' innovation in learning and teaching award
- Horizon2020 | European Institute of Innovation and Technology (EIT): Climate Change and its impact on Public Health
- Horizon2020 | European Institute of Innovation and Technology (EIT): Educating administrative healthcare staff to engage with young patients
- Horizon2020 | European Institute of Innovation and Technology (EIT): Data Science for Healthcare
- NHS Sustainable Improvement: Improvement FUNdamentals MOOC Evaluation
Key publications are highlightedJournals
Reports & invited lectures
- ‘Clinical trials in the NHS’. Market Access Programme: The Hill, Oxford.
- ‘How appropriate healthcare technologies contribute in a public health emergency’. The Institute for Engineering and Technology, London.
- ‘Architectural considerations for data privacy in healthcare: Challenges and opportunities for the design and development of healthcare data interoperability’. Enterprise Architecture Specialist Group, British Computer Society, London.
- ‘Big Data, Data Science and Real World Evidence in Health: Where does one begin?’ Enterprise Architecture Specialist Group, British Computer Society, London.
- ‘Opportunities for Big Data in Health & Care’. EIT Health Media Day, EIT Health, Paris.
- ‘Implementation and extracting value from Big Data’. Government Knowledge, London.
- ‘eLearning in Health Education’. The leading role of ICT in Healthcare. Imperial College London.
Awarded nine prizes including:
- Best paper, 2019 International Conference on eLearning, International Association for the Development of the Information Society
- Top 14 paper of 2019 in Clinical Information Systems, International Medical Informatics Association
- Success story, Horizon 2020 | European Institute of Innovation and Technology