Natural language processing, disability and rehabilitation, informatics for health equity, information extraction from EHR data, clinical decision support.
Postdoctoral Scholar, Department of Biomedical Informatics
BA (2012, Computer Science) Carleton College
PhD (2020, Computer Science & Engineering) The Ohio State University
Career objectives: I aim to develop an NLP-empowered Electronic Health Record, to support naturalistic data capture and holistic analysis of health data. This includes development of new Technologies, to easily translate unstructured text into well-formulated data for analysis; new Data sources, to capture personal and environmental factors of patient health; and scientific Understanding of the role and the variability of language in health services. As a postdoc in DBMI, I am investigating new patient-reported sources of data on environmental factors of disability, and disparities in health documentation for patients of different races and ethnic backgrounds.
Newman-Griffis D, Porcino J, Zirikly A, Thieu T, Camacho Maldonado J, Ho P-S, Ding M, Chan L, Rasch E. Broadening horizons: the case for capturing function and the value of health informatics in its use. BMC Public Health, (2019) 19:1288. DOI: 10.1186/s12889-019-7630-3
Denis Newman-Griffis, Guy Divita, Bart Desmet, Ayah Zirikly, Carolyn P Rosé, Eric Fosler-Lussier, Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets, Journal of the American Medical Informatics Association, ocaa269, https://doi.org/10.1093/jamia/ocaa269
Thieu T, Camacho Maldonado J, Ho P-S, Ding M, Marr A, Brandt D, Newman-Griffis D, Zirikly A, Rasch E. A comprehensive study of mobility functioning information in clinical notes: Entity hierarchy, corpus annotation, and sequence labeling. International Journal of Medical Informatics 2021 March (147) doi:10.1016/j.ijmedinf.2020.104351
Newman-Griffis D, Camacho Maldonado J, Ho P-S, Sacco M, Jimenez Silva R, Porcino J and Chan L (2021) Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing. Front. Rehabilit. Sci. 2:742702. doi: 10.3389/fresc.2021.742702. https://www.frontiersin.org/articles/10.3389/fresc.2021.742702/full