Associate Professor of Medical Science, Associate Professor of Health Services, Policy and Practice

Overview

Dr. Fraser trained in General Medicine, Cardiology and Knowledge Based Systems at Edinburgh University, in Scotland, and in Clinical Decision Making at MIT and the New England Medical Center. His work has led to the migration of medical informatics tools and expertise from high income countries to some of the most challenging environments in low income countries.  

Dr Fraser was  the Co-PI and Informatics and evaluation lead for a grant from the US CDC to evaluate the functioning, clinical impact and costs of an OpenMRS based EMR system for HIV care in Rwanda. This project has led to 3 published studies with a large cluster randomized controlled trial currently being analysed. He has previously held grants as PI from the CDC, the Rockefeller Foundation, and IDRC Canada for eHealth work in Rwanda. From 2015-2017 he held a Marie Skłodowska-Curie Fellowship from the European Union Horizon 2020 program.  He is currently co-editing and co-authoring a new text book on Global Health Informatics and Digital Health.

In 2021 He received an R01 grant as Co-PI with Professor Hogan at the Brown University School of Public Health and Ann Mwangi at Moi University in Kenya, entitled "Data Science for Decision Support in the HIV Care Cascade". This project has built prediction models using machine learning techniques and deployed them using the OpenMRS EHR, with the goal to improve HIV care at the AMPATH project in Westen Kenya. We are nearing completion of a large cluster randomized, controlled trial of the effect of the prediction model on patient clinic attendance and loss to follow up rates.

Dr Fraser's recent work at Brown also includes leading an evaluation study of a diagnostic app or "Symptom Checker" from Ada health in use by patients in the ED at Rhode Island hospital and with patients setting seeking urgent primary care at Brown Medicine. This initial work  led to  an R01 grant from AHRQ on which I am PI that is currently recruiting new patients at RIH and soon in primary care.

A key part of these studies is the evaluation of a range of Large Language Models with symptom data collected by the Ada app. The AHRQ grant also supports studies of LLMs diagnostic and traige accuracy in out of hospital diagnosis of stroke, using two large data sets of possible stroke patients. 

Training and previous experience

As Director of Informatics at the leading Healthcare NGO Partners In Health, Dr Fraser co-founded OpenMRS an open source Electronic Health Record project. He was also an Assistant Professor of Medicine at Harvard Medical School from 2006 - 2015. He has co-created and taught courses in Global eHealth at Leeds University, Edinburgh University and MIT, and co-authored a text book on this field. His main academic focus is in the evaluation of medical information systems particularly in Low and Middle Income Countries, and understanding the impact of information and communications on quality of healthcare world wide. He also focusses on improvement of care for non-communicable diseases particularly Heart Disease.

Brown Affiliations

Research Areas