Denis Newman-Griffis

Research Interests: 

Natural language processing, disability and rehabilitation, informatics for health equity, information extraction from EHR data, clinical decision support.

Postdoctoral Scholar, Department of Biomedical Informatics

Research Advisor: 


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,


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.


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