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

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.

Materials and methods

We propose a novel end-to-end neural architecture to identify sentences that contain geriatric syndromes. Our model learns a representation of the sentence and augments it with contextual information: surrounding sentences, the entire clinical document, and the diagnosis codes associat

SUBMITTER: Chen T 

PROVIDER: S-EPMC7647225 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature