DOCTORAL RESEARCH SUPERVISORS:
RESEARCH FELLOW, IMPERIAL COLLEGE DATA SCIENCE INSTITUTE
OTHER Collaborators & CO-authors:
Vikram Patel, Pershing Square Professor of Global Health, Harvard Medical School
David Birch, Leader, Data Visualisation Group, Data Science Institute, Imperial College London
Yi-Ke Guo, Professor of Computing Science, Imperial College London
Naomi Radcliffe, Cabinet Office, United Kingdom
Google X SOlve for X AWARD FINALIST FOR MOBILE BEHAVIOR CHANGE APP:
USING BIG DATA TO UNDERSTAND EMERGING CONSUMER ATTITUDES AND PREFERENCES IN BEHAVIOUR CHANGE
The convergence of digital communication technologies and behaviour change mechanisms with psychology
business models of mobile health
big data / data visualisation for resource planning in health
Consumer preferences and UI/UX for mobile health apps on tablet and mobile phones, the Institute of Global Health Innovation, Imperial College
Big data visualisations in the factorial analysis of risk factors and resource planning for non-public sector health providers, with the Data Observatory, a data visualisation studio and decision making space housed within the Data Science Institute at Imperial College
Development of mHealth behaviour change interventions in psychology, the Institute of Global Health Innovation, Imperial College
mHealth global health policy and mental health at the Centre for Health Policy, Imperial College and Fellow of WISH, World Innovation Summit for Health
the 50q study
The 50 Q Study, a questionnaire study about using mobile apps for stress and anxiety for adults 18+, is now closed. Please email us using the link on the left of this page if you wish to be put on the mailing list for the results.
Selected Journals and News
Download the article How Google's 'Ten Things We Know To Be True' Could Guide the Development of Mental Health Apps for free:
From 2011 to 2030, mental health conditions are projected to cost the global economy $16 trillion through lost labor and capital output. The gold standard of psychological interventions, one-on-one therapy, is too costly and too labor-intensive to keep up with the projected growth in demand for mental health services. Therefore, new solutions are needed to improve the efficiency of mental health care delivery and to increase patient self-care. Because 85 percent of the world’s population has wireless signal coverage, there is an unprecedented opportunity for mobile technologies to incorporate psychological self-care into people’s daily lives and relieve workforce shortages. In this article, we suggest that policy makers look to technology innovators for guidance. For example, Google’s principles, called “Ten Things We Know To Be True,” are useful for understanding the drivers of success in mobile technologies. For principles such as “focus on the user and all else will follow,” we identify examples of how evidence-based mobile mental health technologies could increase patient self-care and reduce the demand for one-on-one psychological intervention.
Read other articles about mHealth and mMental Health citing this work here.
Read more about my discussion with the FT's Andrew Jack on mobile health innovation in Africa.