I am an Associate Professor and Chief of Section of Patient Centered Analytics at the MD Anderson Center.
The goal of my research is to improve patient outcomes by leveraging data science techniques to make better, more personalised, decisions about patient care. To achieve this goal, I conduct research to improve the use and usefulness of patient-reported outcomes and to demonstrate the safe and effective use of statistical and machine learning tools to predict patient outcomes.
Recently, we have shown that patient-reported outcomes measures (PROMs) can be used as a clinical intervention to improve processes and outcomes of care including quality of life, identification of need, and patient survival. We have consistently shown that it is possible to dramatically reduce the length of PROMs without sacrificing assessment accuracy by leveraging computerised adaptive testing (e.g., Harrison and Gibbons, 2022).
Our award-winning collaborative research on the development of AI-enhanced screening techniques to identify complete pathological response (pCR) to neoadjuvant chemotherapy for localised breast cancer suggests that it may be possible to safely de-escalate confirmatory surgery in a large proportion of patients. (e.g., J Clin Oncol, Eur J Can).
We strive to develop effective, safe, and unbiased AI tools to inform clinical decision making to improve outcomes, reduce costs, and ensure that appropriate care is provided at the end-of-life. I collaborate with Project Ronin to demonstrate successful implementation of these tools in real world settings.
I maintain links with the University of Cambridge as Director of Health Assessment and Innovation at the Psychometrics Centre and Health Director of the Concerto Platform. I was previously National Institute for Health Research (NIHR) Fellow based at The Healthcare Improvement Studies (THIS) Institute, and College Research Associate at Corpus Christi College, Cambridge. I then moved to Brigham and Women's Hospital and Harvard Medical School as a founding Co-Director of the Patient-Reported Outcomes, Value & Experience (PROVE) Center.
I have been invited to lecture on topics relating to data science and reported outcomes at institutions including NASA, Karolinska Institutet, and Harvard Business School. I deliver in-person training courses on modern psychometrics, big data, and machine learning at the University of Cambridge. I am now Director of the MD Anderson Institute for Data Science in Oncology Fellowship program.