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., 2023, Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review., Jmir Res Protoc, Vol:12, ISSN:1929-0748
et al., 2023, Impact of digital technologies on self-efficacy in people with Parkinson's: a scoping review protocol., Bmj Open, Vol:13
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, The impact of a digital artificial intelligence system on the monitoring and self-management of non-motor symptoms in People with Parkinson’s: Proposal for a Phase 1 implementation study (Preprint)