Geospatial Information Based Digital Twins for Healthcare

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.