Summary
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.
For information on my current research, please visit the Centre for Health Technology website.
Completed Research Projects:
Higher Education Funding Council for England (HEFCE)
(2016 - 2018) Higher Education Funding Council for England - Catalyst Fund: Small-scale, radical and experimental innovation
EUROPEAN INSTITUTE OF INNOVATION AND TECHNOLOGY
(2017) EIT Health - The impact of Climate Change on Public Health
(2017) EIT Health - Health and Data Analytics
(2016) EIT Health - Educating Administrative Healthcare Staff to Engage with Young Patients MOOC
(2015 - 2016) EIT Digital - Professional School: eHealth and Data Science
NHS England
(2015 - 2016) NHS England - Quality Improvement MOOC Evaluation
Publications
Journals
Milne-Ives M, Homer SR, Andrade J, et al., 2023, Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review, Frontiers in Psychology, Vol:14, ISSN:1664-1078
Milne-Ives M, Duun-Henriksen J, Blaabjerg L, et al., 2023, At home EEG monitoring technologies for people with epilepsy and intellectual disabilities: A scoping review, Seizure-european Journal of Epilepsy, Vol:110, ISSN:1059-1311, Pages:11-20
Hall AM, Aroori S, Carroll CB, et al., 2023, Impact of digital technologies on self-efficacy in people with Parkinson's: a scoping review protocol, Bmj Open, Vol:13, ISSN:2044-6055
Bounsall K, Milne-Ives M, Hall A, et al., 2023, Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review, Jmir Research Protocols, Vol:12, ISSN:1929-0748
Meinert E, Milne-Ives M, Chaudhuri KR, 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