Automatic address validation and health record review to identify homeless Social Security disability applicants

Automatic address validation and health record review to identify homeless Social Security... Journal of Biomedical Informatics 82 (2018) 41–46 Contents lists available at ScienceDirect Journal of Biomedical Informatics journal homepage: www.elsevier.com/locate/yjbin Automatic address validation and health record review to identify homeless Social Security disability applicants Jennifer Erickson , Kenneth Abbott, Lucinda Susienka Minnesota Disability Determination Services, 121 7th Place E, Saint Paul, MN 55101, United States ARTIC L E I NF O ABSTRAC T Keywords: Objective: Homeless patients face a variety of obstacles in pursuit of basic social services. Acknowledging this, Health records the Social Security Administration directs employees to prioritize homeless patients and handle their disability Natural language processing claims with special care. However, under existing manual processes for identification of homelessness, many Social security homeless patients never receive the special service to which they are entitled. In this paper, we explore address Disability validation and automatic annotation of electronic health records to improve identification of homeless patients. Homeless Materials and Methods: We developed a sample of claims containing medical records at the moment of arrival in a single office. Using address validation software, we reconciled patient addresses with public directories of homeless shelters, veterans’ hospitals and clinics, and correctional facilities. Other tools annotated electronic health records. We trained random http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Biomedical Informatics Elsevier

Automatic address validation and health record review to identify homeless Social Security disability applicants

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
1532-0464
eISSN
1532-0480
D.O.I.
10.1016/j.jbi.2018.04.012
Publisher site
See Article on Publisher Site

Abstract

Journal of Biomedical Informatics 82 (2018) 41–46 Contents lists available at ScienceDirect Journal of Biomedical Informatics journal homepage: www.elsevier.com/locate/yjbin Automatic address validation and health record review to identify homeless Social Security disability applicants Jennifer Erickson , Kenneth Abbott, Lucinda Susienka Minnesota Disability Determination Services, 121 7th Place E, Saint Paul, MN 55101, United States ARTIC L E I NF O ABSTRAC T Keywords: Objective: Homeless patients face a variety of obstacles in pursuit of basic social services. Acknowledging this, Health records the Social Security Administration directs employees to prioritize homeless patients and handle their disability Natural language processing claims with special care. However, under existing manual processes for identification of homelessness, many Social security homeless patients never receive the special service to which they are entitled. In this paper, we explore address Disability validation and automatic annotation of electronic health records to improve identification of homeless patients. Homeless Materials and Methods: We developed a sample of claims containing medical records at the moment of arrival in a single office. Using address validation software, we reconciled patient addresses with public directories of homeless shelters, veterans’ hospitals and clinics, and correctional facilities. Other tools annotated electronic health records. We trained random

Journal

Journal of Biomedical InformaticsElsevier

Published: Jun 1, 2018

References

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