Geospatial Information Based Digital Twins for Healthcare

View Sample PDF

Author(s): Pradeep K. Garg (Indian Institute of Technology Roorkee, India)
Copyright: 2023
Pages: 14
Source title: Digital Twins and Healthcare: Trends, Techniques, and Challenges
Source Author(s)/Editor(s): Loveleen Gaur (Amity University, India & Taylor's University, Malaysia & University of the South Pacific, Fiji)and Noor Zaman Jhanjhi (Taylor's University, Malaysia)
DOI: 10.4018/978-1-6684-5925-6.ch009

Keywords: Medical Information Science Reference / Medical Technologies / Medicine & Healthcare

Purchase

View Geospatial Information Based Digital Twins for Healthcare on the publisher's website for pricing and purchasing information.

Abstract

A digital twin refers to a virtual model of a process, product, or service. It is a bridge between the physical world and digital world. Due to its obvious benefits, more organizations are adopting it, particularly in medicines and healthcare. The big data can be collected through wearable sensors, GPS, images, and IoT, and analysed with AI and machine learning that can be very helpful in various aspects of health sector. The GIS improves data capture and integration, leads to better real-time visualisation, offers detailed analysis and automation of future projections, and facilitates communication and cooperation. Digital twins are very helpful in personalised healthcare, monitoring the treatment. There are, however, many challenges associated with the digital data of patients, such as digitization of health records, security of data, and real-time analysis and predication to provide efficient and economical healthcare services.

The IRMA Community

Research IRM

Geospatial Information Based Digital Twins for Healthcare

Purchase

Abstract

Related Content

IRMA Sponsors