Identifying vulnerable older adult populations by contextualizing geriatric syndrome information in clinical notes of electronic health records.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Aug 1, 2019

Abstract

OBJECTIVE: Geriatric syndromes such as functional disability and lack of social support are often not encoded in electronic health records (EHRs), thus obscuring the identification of vulnerable older adults in need of additional medical and social services. In this study, we automatically identify vulnerable older adult patients with geriatric syndrome based on clinical notes extracted from an EHR system, and demonstrate how contextual information can improve the process.

Authors

  • Tao Chen
    School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China.
  • Mark Dredze
    Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, United States of America.
  • Jonathan P Weiner
    Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
  • Hadi Kharrazi
    Johns Hopkins Bloomberg School of Public Health, Center for Population Health Information Technology, Baltimore, United States.

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