Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.

ABSTRACT:

Objective

This study aims to assess the performance of machine learning (ML) techniques in optimising nurse staffing and evaluating the appropriateness of nursing care delivery models in hospital wards. The primary outcome measures include the adequacy of nurse staffing and the appropriateness of the nursing care delivery system.

Background

Historical and current healthcare challenges, such as nurse shortages and increasing patient acuity, necessitate innovative approaches to nursing care delivery. For instance, the COVID-19 pandemic highlighted the need for flexible and scalable staffing models to manage surges in patient volume and acuity.

Materials and methods

A descriptive study was conducted in 39 inpatient wards across a university hospital and three state hospi

SUBMITTER: Aslan M 

PROVIDER: S-EPMC11748821 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature