Background In the context of the volume of mixed-and multi-methods studies in health
services research, the present study sought to develop an appraisal tool to determine the …

Background Recent advances in machine and deep learning based on an increased
availability of clinical data have fueled renewed interest in computerized clinical decision …

Introduction Artificial intelligence (AI), the simulation of human intelligence processes by
machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based …

Clinical tools for use in practice—such as medicine reconciliation charts, diagnosis support
tools and track-and-trigger charts—are endemic in healthcare, but relatively little attention is …

Abstract Aims To explore Registered Nurses' experiences and perceptions with National
Early Warning Score and Individual Early Warning Score to identify patient deterioration …

Objectives Early warning scores were developed to improve recognition of clinical
deterioration in acute hospital settings. In England, the National Early Warning Score …

Importance Pediatric early warning systems (PEWS) aid with early identification of clinical
deterioration and improve outcomes in children with cancer hospitalized in resource-limited …

Aim The aim of this study was to explore hospital nurses' perceptions and reactions to the
National Early Warning Score during an introduction programme. Design A qualitative case …

This review critiques the benefits and drawbacks of the United Kingdom's National Early
Warning Score (NEWS). Potential developments for the future are considered, as well as the …

Background: There is limited research, and guidance, on how to address safety in general
practice proactively. Objectives: This review aimed to synthesize the literature describing the …