Honorary Senior Research Fellow, Department of Primary Care and Public Health, Imperial College London
Leading researcher in digital health, digital health professions education and health data science.
Prof Lorainne Tudor Car is an Honorary Senior Research Fellow in the Department of Primary Care and Public Health at Imperial College London. Her research centres on digital health, digital health professions education and health data science. She was previously an Assistant Professor of Evidence-Based Medicine at the Lee Kong Chian School of Medicine (LKCMedicine), a joint medical school between Imperial College London and Nanyang Technological University, Singapore.
Throughout her career, she has had the privilege of holding various roles. She was a Senior Clinician Scientist at the Institute for Mental Health, Singapore, a Visiting Scientist in Health Systems and eHealth at the Harvard T.H. Chan School of Public Health and a Clinical and General Adviser at the National Institute for Health Research (NIHR) Research Design Service. She is an Editor for the Cochrane Public Health Group and an editorial board member for the Journal of Medical Internet Research (JMIR) and JMIR Medical Education. Additionally, she led a global evidence synthesis initiative for the World Health Organization focused on digital learning for healthcare workforce development.
After earning her medical degree and completing an internship, she pursued a PhD focusing on the integration of public health interventions into health systems. Her work included an evidence synthesis and modelling of the Prevention of Mother to Child Transmission uptake cascade, significantly influencing UNICEF's consultations on women's and children's health. She furthered her education with an Executive MSc in Health Economics, Policy and Management from the London School of Economics and Political Science.
She has published 113 journal articles spanning various methodologies such as evidence synthesis, qualitative research, methodological work, pilot trials, and observational and modelling studies in the following complementary fields: