The Journal of Community Health Management
Official Publication of Innovative Education and Scientific Research Foundation
Official Publication of Innovative Education and Scientific Research Foundation
Digital twins are virtual replicas of physical assets or processes and have emerged as a promising technology in various industries, including healthcare. This paper explores the application of digital twins in hospital operations, and talks about their role in enhancing patient care and improving workflow efficiency. Through a comprehensive review of the literature and analysis of case studies, we examine how digital twins are revolutionizing traditional hospital practices and improving the delivery of healthcare services. The paper begins with an introduction to digital twins in healthcare, which provides an idea of the technology and its underlying principles. We then explore the many ways in which digital twins are being implemented across different areas of hospital operations, from patient monitoring in the Intensive Care Unit (ICU) to medication management in the pharmacy. Throughout this paper, we have included flowcharts that will help the reader better understand the idea we pitch. Furthermore, the paper discusses the challenges and considerations associated with adopting digital twins in hospital settings, including data privacy concerns, interoperability issues, and the need for better infrastructure. We also explore emerging trends and future directions in digital twin technology. We try to predict how this technology may continue to evolve and shape the future of patient care. In conclusion, this paper underscores the potential of digital twins to transform hospital practices and revolutionize the delivery of healthcare services. By using the power of digital twins, hospitals can improve operational efficiency, personalize patient care, and ultimately improve the overall quality of healthcare delivery.
Digital Twins,Telemedicine,Medication Management,Infection Control,Medical Data Integration,Hospital Management,IoT in Healthcare,Predictive Analytics,Healthcare Technology
Ahead of Print Date : 2024-05-27