Christopher Gibbons is Associate Professor and Deputy Chair at the MD Anderson Symptoms Research department and Director of the MD Anderson Center for INSPiRED Cancer Care (Integration of Novel Systems for Patient Reported Data ).
He conducts research to improve the lives of cancer patients by combining patient-reported data with psychometrics, user-centered design, machine learning and big data.
Chris’ work focuses on both assessing the impact of interventions which seek to improve processes and outcomes of care using patient-reported assessment measures and more fundamental research to develop new assessment methods and modalities to enhance patient care. The latter involves the application of computer adaptive testing, tailored feedback, and machine learning algorithms to improve the accuracy, feasibility, and effectiveness of patient-reported assessments to improve clinical research and care.
Chris 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. From 2014 until 2018 he was National Institute for Health Research (NIHR) Fellow based at The Healthcare Improvement Studies (THIS) Institute, and College Research Associate at Corpus Christi College, Cambridge. He 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.
Chris has talked about how computational techniques can be used to transform the use and usefulness of patient-reported data around the world at institutions including NASA, Karolinska Institutet, and Harvard Business School, and continues to deliver in-person training courses on modern psychometrics, big data, and machine learning at the University of Cambridge.