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Improving operational efficiency of healthcare operations using digital twins

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

There has been an increase in the implementation of digital twin (DT) technology in several sectors, including healthcare, which is crucial in revolutionizing patient care, medical research, and hospital operations. This chapter explores the implementation of DTs in real-world healthcare scenarios, emphasizing predictive maintenance, patient flow optimization, and inventory management. Hospitals can create dynamic virtual replicas of medical devices, infrastructure, and human physiology by leveraging the Internet of things, cloud computing, and artificial intelligence-driven analytics to enhance decision-making. The chapter also highlights case studies for DT implementation, best practices for implementation, and the future of DTs in sustainable healthcare. DT promises to improve operational efficiency, reduce costs, and elevate patient outcomes in modern healthcare systems through continuous monitoring and real-time insights.

Original languageEnglish
Title of host publicationDigital Twins for Sustainable Development
PublisherElsevier
Pages63-101
Number of pages39
ISBN (Electronic)9780443273889
ISBN (Print)9780443273896
DOIs
Publication statusPublished - 01-01-2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • General Computer Science

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