EUR ING Dr Edward Meinert is a Sir David Cooksey Fellow in Healthcare Translation. This fellowship is focused on bridging two major gaps in healthcare translation. Firstly, to support deep academic research into non-laboratory biomedical research, including technology development, regulation, intellectual property, clinical adoption and biomanufacturing - areas that currently receive limited support from traditional grant-making organisations. Secondly, to sustainably support the training and development of future translational academic and industry leaders, to ensure that the appropriate skills are available to support biomedical innovations globally across the "Valley of Death".
Edward leads the Digitally Enabled PrevenTative Health (DEPTH) Research Group, whose focus is on high-impact research concerning the engineering and evaluation of mobile digital solutions and integrated health data ecosystems. This work is complemented by research into critical enabling infrastructure including novel regulatory pathways, regulation, standards and intellectual property.
Edward read Software Engineering and Business Administration at the University of Oxford (Exeter College), Theology and Religous Studies at the University of Cambridge (Hughes Hall), Public Administration at the London School of Economics and Clinical Medicine Research at Imperial College London under the supervision of Associate Professor Josip Car and Professor Azeem Majeed. Edward is a Chartered Engineer (Engineering Council UK), a European Engineer (Fédération Européenne d'Associations Nationales d'Ingénieurs), a Fellow of the British Computer Society and a Fellow of the Chartered Management Institute.
MA MSc MBA MPA PhD DIC CEng FBCS EUR ING
Sir David Cooksey Fellowship in Healthcare Translation
DESIGN, DEVELOPMENT AND EVALUATION OF DIGITAL HEALTH SOLUTIONS
EUR ING Dr Edward Meinert is a Chartered Engineer with extensive professional experience in data science and implementation of complex business information systems. Edward's research is centred on the use of digital technology in medicine. His primary research interests include mobile digital apps, wearables, robotic process automation in digital health systems and software application development for enhancement of data collection and information dissemination, with a primary aim to improve cost, impact on analytics and adoption. 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 yet to be established.
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. Edward aims to develop evidence to inform improvement in the design of technologies and to influence policy to promote adoption of systems which achieve positive health impact.
European Institute for Innovation and Technology (EIT) Health, Higher Education Funding Council for England (HEFCE), NHS England, European Institute for Innovation and Technology (EIT) Digital, Health Education England (HEE)
Mobile apps for health behaviour change: a systematic review protocol
Milne-Ives M. et al, (2019), JMIR Research Protocols
Teaching Real World Evidence: A Systematic Review Protocol
LAM C. et al, (2019), JMIR Research Protocols
Use of apps to promote childhood vaccination: a systematic review protocol
VAN VELTHOVEN M. et al, (2019), JMIR Research Protocols
Blockchain vehicles for efficient Medical Record management
Vazirani A. et al, (2019), npj Digital Medicine
Perspectives of overweight and obese people on using wearable technology for weight management: A systematic review
Hu R. et al, (2019), JMIR mHealth and uHealth