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Authors: Fatemeh Shah-Mohammadi ; Wanting Cui ; Keren Bachi ; Yasmin Hurd and Joseph Finkelstein

Affiliation: Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A.

Keyword(s): Natural Language Processing (NLP), Opioid Treatment Program (OTP), Determinants of Distress.

Abstract: Psychiatric and medical disorders, social and family environment, and legal distress are important determinants of distress that impact the effectiveness of the treatment in opioid treatment program (OTP). This information is not routinely captured in electronic health record, but may be found in clinical notes. This study aims to explore the feasibility and effectiveness of natural language processing (NLP) strategy for identifying legal, social, mental and medical determinates of distress along with emotional pain rooted in family environment from clinical narratives of patients with opioid addiction, and then using this information to find its impact on OTP outcomes. Analysis in this study showed that mental and legal distress significantly impact the result of the treatment in OTP.

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Paper citation in several formats:
Shah-Mohammadi, F.; Cui, W.; Bachi, K.; Hurd, Y. and Finkelstein, J. (2022). Comparative Analysis of Patient Distress in Opioid Treatment Programs using Natural Language Processing. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - SERPICO; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 319-326. DOI: 10.5220/0010976700003123

@conference{serpico22,
author={Fatemeh Shah{-}Mohammadi. and Wanting Cui. and Keren Bachi. and Yasmin Hurd. and Joseph Finkelstein.},
title={Comparative Analysis of Patient Distress in Opioid Treatment Programs using Natural Language Processing},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - SERPICO},
year={2022},
pages={319-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010976700003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - SERPICO
TI - Comparative Analysis of Patient Distress in Opioid Treatment Programs using Natural Language Processing
SN - 978-989-758-552-4
IS - 2184-4305
AU - Shah-Mohammadi, F.
AU - Cui, W.
AU - Bachi, K.
AU - Hurd, Y.
AU - Finkelstein, J.
PY - 2022
SP - 319
EP - 326
DO - 10.5220/0010976700003123
PB - SciTePress

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