Background: Persistently elevated hospitalization rates in the home healthcare setting
indicate the need to prioritize patients with undertreated conditions that can lead to negative …

Objectives Urinary tract infection (UTI) is common in home care but not easily captured with
standard assessment. This study aimed to examine the value of nursing notes in detecting …

Background Natural language processing (NLP) tools including recently developed large
language models (LLMs) have myriad potential applications in medical care and research …

Objective This study aimed to develop a natural language processing (NLP) system that
identified social risk factors in home health care (HHC) clinical notes and to examine the …

Objectives To develop and test a scalable, performant, and rule-based model for identifying
3 major domains of social needs (residential instability, food insecurity, and transportation …

Background Efficiently identifying the social risks of patients with serious illnesses (SIs) is
the critical first step in providing patient-centered and value-driven care for this medically …

Background Identifying comorbidities is a critical first step to building clinical phenotypes to
improve assessment, management, and outcomes. Objectives 1) Identify relevant …

Background About one in five patients receiving home healthcare (HHC) services are
hospitalized or visit an emergency department (ED) during a home care episode. Early …

Objective To assess the utility of applying natural language processing (NLP) to electronic
health records (EHRs) to identify individuals with chronic mobility disability. Design We used …

Aims To investigate the association between health literacy and cognition and nursing and
patient‐reported incontinence in a geriatric inpatient population transitioning to skilled …