Exploring the revolution in healthcare systems through the applications of digital twin technology

Abstract

Digital Twin is a virtual replica of an item that is gaining traction in several sectors. This technology is creating significant advancements in the field of healthcare. A machine or a person's digital twin is a virtual replica of that entity. In order to create a digital model that can be tested and simulated, one has to gather enormous volumes of data through Internet of Things (IoT) sensors for the associated application. Based on the patient's lifestyle, regular eating habits, and blood sugar data, this technology helps to warn the patient about prescriptions, dietary adjustments, medical consultations, and other situations. Digital Twin uses a substantial quantity of data from multiple IoT devices and uses Artificial Intelligence (AI)-powered models. Patients' own Digital Twin uses previous data insights to help select the most appropriate medication, forecast the results of a particular surgery, and control chronic illness. The main aim of this paper is to study Digital Twin and its need for the healthcare sector. This Paper discusses various features and services of Digital Twin for Healthcare. Various technologies and tools of Digital Twins for Healthcare are also briefed and further identified and discussed, along with significant applications. The healthcare sector has realised to create a framework focused on the patient. In the future, healthcare should think about more advanced ways to provide best-in-class treatment to the patient. Planning for the post-digital era is crucial as healthcare organisations continue their digital transformation initiatives.