Digital Twin for Smart Societies: A Catalyst for Inclusive and Accessible Healthcare
Joshit Mohanty, Sujatha Alla, Vaishali, Nagesh Bheesetty, Prasanthi, Chidipudi, Satya Prakash Chowdary Nandigam, Marisha Jmukhadze, Puneeth, Bheesetty, Narendra Lakshmana Gowda

TL;DR
This paper explores how digital twins can be utilized to create inclusive, accessible healthcare in smart cities by simulating social behaviors, addressing disparities, and aiding policy decisions in real-time.
Contribution
It introduces a framework for using digital twins to enhance community healthcare, emphasizing real-time behavioral modeling and societal integration.
Findings
Digital twins can identify healthcare disparities.
They facilitate community participation in health decisions.
They support simulation of urban policy impacts.
Abstract
With rapid digitization and digitalization, drawing a fine line between the digital and the physical world has become nearly impossible. It has become essential more than ever to integrate all spheres of life into a single Digital Thread to address pressing challenges of modern society: accessible and inclusive healthcare in terms of equality and equity. Techno-social advancements and mutual acceptance have enabled the infusion of digital models to simulate social settings with minimum resource utilization to make effective decisions. However, a significant gap exists in feeding back the models with appropriate real-time changes. In other words, active behavioral modeling of modern society is lacking, influencing community healthcare as a whole. By creating virtual replicas of (physical) behavioral systems, digital twins can enable real-time monitoring, simulation, and optimization of…
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