Artificial Intelligence | April 8–10, 2019 | Boston, MA USA

Chris Sidey-Gibbons, PhD

  • Co-Director, PROVE Center, BH; Member of Faculty, HMS,

Dr. Gibbons is a Co-Founder and Co-Director of the Brigham and Women’s Hospital Patient-Reported Outcomes, Value, and Experience center and a member of the faculty at Harvard medical school. the mission of the proofs I consider is to leverage leading edge computational technologies to transform the collection, analysis, and reporting of patient reported outcomes in surgery.

Dr. Gibbons has developed more than a dozen computational tools for assessing patient outcomes including quality of life, depression, and fatigue. These tools have been used to from collect data from tens of thousands of people to inform research around the world.

Prior to joining the faculty at Harvard Medical School, Dr. Gibbons was Director of Health Assessment and Innovation at the Psychometric Center and NIHR Research Fellow at The Healthcare Improvement Studies (THIS) Institute, University of Cambridge. In these roles, Dr. Gibbons oversaw externally-funded projects related to the use of big data and machine learning in person-centered assessment. One such study, entitled Predictive World study brought together 2.5 billion publicly-available data points and a proprietary algorithm to make individualized predictions about the health and lifestyle of people across the globe. Predictive World was used by over a million users in the first three weeks of release. The project was later recognized by design awards including the D&AD Graphite Pencil and ADC Golden Cube. Dr. Gibbons given his continued collaboration with the University of Cambridge as Health Director of the international open-source Concerto collaboration.

More recently, Dr. Gibbon’s research has focused on the application of natural language processing algorithms create a unique source of insight from unstructured patient reports of quality from diverse sources.

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