Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model.

ABSTRACT:

Objectives

Little is known about proactive risk assessment concerning emergency department (ED) visits and hospitalizations in patients with heart failure (HF) who receive home healthcare (HHC) services. This study developed a time series risk model for predicting ED visits and hospitalizations in patients with HF using longitudinal electronic health record data. We also explored which data sources yield the best-performing models over various time windows.

Materials and methods

We used data collected from 9362 patients from a large HHC agency. We iteratively developed risk models using both structured (eg, standard assessment tools, vital signs, visit characteristics) and unstructured data (eg, clinical notes). Seven specific sets of variables included: (1) the Outcome and

SUBMITTER: Chae S 

PROVIDER: S-EPMC10531127 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature