Digital Innovations in Telenursing: Bridging the Gap between Clinical Care and Home-Based Recovery

Introduction

The current trend of shorter hospital stays has led to an increased demand for continued post-discharge nursing care. Additionally, an ongoing shortage of nursing professionals presents significant challenges in providing consistent and effective patient care during this transitional period. In this context, telenursing is an effective solution that bridges the gap between hospital-based care and recovery at home. Technology has made it possible to provide remote nursing care, including monitoring, educating, and supporting patients.

This research topic aims to explore the implications of telenursing in delivering continuous care for patients after discharge. We will explore how these technologies assist in the understanding of the specific needs of patients during their transition from hospital to home. This includes using technology to monitor both objective data (such as vital signs) and subjective patient feedback (covering symptoms and overall well-being), ensuring medication adherence, and facilitating timely interventions. Through these measures, telenursing has the potential to contribute to more timely interventions, personalized care plans, and improved patient outcomes.

The articles in this series will offer valuable insights and recommendations for healthcare providers, policymakers, and researchers interested in leveraging digital technologies to enhance patient care and support.

Topics covered

• Efficacy and Efficiency: Assess and compare the outcomes, quality, and cost-effectiveness of telenursing versus traditional nursing.
• Technology Adoption: Investigate the factors influencing the adoption of telenursing technologies in healthcare settings, and how to integrate them into existing systems.
• Patient Experience: Examine patient perceptions, satisfaction, and health effects associated with utilizing telenursing services.
• Technological Innovations: Examine emerging technologies in telenursing, such as machine learning and AI, to evaluate their applications and potential effects on patient care.
• Remote Patient Monitoring: Investigate how remote monitoring in telenursing affects patient outcomes.
• Communication Skills and Chatbot Integration: Analyze how nurse-patient communication is affected by Chatbots and AI technologies within a telenursing context.
• Standardizing Nursing Documentation: Establish and implement standardized practices for nursing documentation within telenursing to ensure consistent high-quality patient care records.

Submission Deadlines

• Submission deadline: rolling submission
• Accepted manuscripts will first be published in a regular issue, and will then be included in an article collection once the required number of articles has been reached.

Submission Instructions

Please read the [Guide for Authors] before submitting. All articles should be [submitted online], please select [Digital Innovations in Telenursing] on submission. You can contact the Topic Editors with specific inquiries on this research topic. Manuscripts will benefit from rapid peer review.

Topic Editors