Greetings and salutations!
Welcome to my research page at Imperial College London. From 2015 to 2017, I completed doctoral work at the Global Digital Health Unit, focusing on methods for evaluation of digital learning in health professions continuing professional development and undergraduate/postgraduate medical education. These courses involved my interests in exploring implementation science of initiatives involving:
- Software engineering
- Data science
- Digital health
This work involved the study of software development, cost analysis and evaluation of online learning including asynchronous/synchronous eLearning, blended learning and MOOCs.
Completed Research Projects:
Higher Education Funding Council for England (HEFCE)
EUROPEAN INSTITUTE OF INNOVATION AND TECHNOLOGY
(2016) EIT Health - Educating Administrative Healthcare Staff to Engage with Young Patients MOOC
(2015 - 2016) NHS England - Quality Improvement MOOC Evaluation
et al., 2022, The Impact of a Digital Artificial Intelligence System on the Monitoring and Self-management of Nonmotor Symptoms in People With Parkinson Disease: Proposal for a Phase 1 Implementation Study., Jmir Res Protoc, Vol:11, ISSN:1929-0748
Milne-Ives M, Carroll C, Meinert E, 2022, Self-management Interventions for People With Parkinson Disease: Scoping Review, Journal of Medical Internet Research, Vol:24, ISSN:1438-8871
et al., 2022, Life.course digital T.wins – I.ntelligent M.onitoring for E.arly and continuous intervention and prevention (LifeTIME): Proposal for a proof-of-concept study, Jmir Research Protocols, Vol:11, ISSN:1929-0748
Meinert E, 2022, Humanising health and social care support for people with intellectual and developmental disabilities: Protocol for a scoping review, Jmir Research Protocols, Vol:11, ISSN:1929-0748
et al., 2022, A Scoping Review of Digital Twins in the Context of the Covid-19 Pandemic, Biomedical Engineering and Computational Biology, Vol:13, ISSN:1179-5972