“We know that people with disabilities experience a lot of inequities in both their health outcomes and the quality of the healthcare that they receive”, says Dr Denis Newman-Griffis, Lecturer in Data Science at the Information School and co-author of ‘ A roadmap to reduce information inequities in disability with digital health and natural language processing ’, a paper published in PLOS Digital Health. This narrative paper is co-authored by Dr Max Hurwitz, Dr Gina McKernan, Dr Amy Houtrow and Dr Brad Dicianno, with whom Dr Newman-Griffis worked during their post-doctoral research in biomedical informatics at the Department of Physical Medicine Rehabilitation at the University of Pittsburgh. It looks at what the sources and causes of this disparity in care experienced by people with disabilities are. Previous research shows that similar disparities are prevalent across race, class, gender and geographical lines as well, but little work has been done specifically in the area of disabil
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