Bio: Felix Greaves, B.M.B.Ch., M.B.A., a 2013-14 U.K. Harkness Fellow in Health Care Policy and Practice, is currently a specialty registrar in public health at the London Deanery and Imperial College. Prior to this appointment, Greaves spent half his time as a clinical advisor to the chief medical officer at the Department of Health in London, and the other half as a medical offer in the WHO's Patient Safety Programme. Greaves is recipient of national awards including the U.K. Faculty of Public Health's Brotherston Prize and the British Science Association's National Media Fellowship. Greaves' research specialties include patient centeredness and experience, and care quality. Greaves has published peer-reviewed articles in journals such as The Lancet and BMJ. He holds an M.B.A. from Imperial College London, a master's in public health from Harvard University, and a B.M.B.Ch. from Oxford University. He is currently working on his Ph.D. at Imperial College London, where his thesis is examining patients' ratings of their care online as a measure of health care quality. His dissertation work on "TripAdvisor" patient ratings has attracted the attention of the NHS, the Institute for Healthcare Improvement, BMJ, and the popular press.
Placement: Harvard University
Mentors: Ashish Jha, M.D., M.P.H., Harvard School of Public Health
Project: Measuring Patient-Centered Care through Patient Comments on the Internet
Description: Greaves aims to explore new ways to measure patient experience by analyzing how patients describe their care online. He will conduct a quantitative analysis comparing patient-generated feedback data from rating websites (e.g., Yelp) with traditional quality measures drawn from existing sources, such as standardized mortality ratios and patient experience surveys. He will also conduct a qualitative study exploring the views of hospital physicians and administrators on the usefulness of the data generated from these rating websites. Finally, he will attempt to create novel techniques to use sentiment analysis of free text comments about clinical care online to create a real-time score of hospital performance.
