Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare.

ABSTRACT:

Background

In the United States, over 12 000 home healthcare agencies annually serve 6+ million patients, mostly aged 65+ years with chronic conditions. One in three of these patients end up visiting emergency department (ED) or being hospitalized. Existing risk identification models based on electronic health record (EHR) data have suboptimal performance in detecting these high-risk patients.

Objectives

To measure the added value of integrating audio-recorded home healthcare patient-nurse verbal communication into a risk identification model built on home healthcare EHR data and clinical notes.

Methods

This pilot study was conducted at one of the largest not-for-profit home healthcare agencies in the United States. We audio-recorded 126 patient-nurse encounters for 4

SUBMITTER: Zolnoori M 

PROVIDER: S-EPMC10797261 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature