Page 144 - 2020 Defence White Paper

For the mobile telemedicine system, a pilot project was initiated to build a system
using the LTE-based system for the Armed Forces Medical Command, trauma
centers, and 8 military hospitals. The system was temporarily expanded and operated
in isolation facilities and temporary screening clinics to improve accessibility to
the medical treatment of servicemembers isolated due to COVID-19 and to prevent
infection. The military medical big data analysis system is based on the Defense
Medical Information System (DEMIS) , and the development of analysis system
23)
technologies–such as the chest X-ray diagnosis system and the support system for
drug prescription–is being promoted in cooperation with the Ministry of Science
and ITC. Among these, the X-ray diagnosis system is in progress as a pilot project for
military hospitals.
The MND plans to increase the survival rate of patients by supporting the optimal
decision of doctors through big data of DEMIS and create a military medical
environment that can respond to various emergencies by expanding mobile remote
diagnosis and treatment.
Moreover, it plans to establish a smart talent management system that can
systematically manage the service cycle of servicemembers–from before enlistment
to post-discharge–and use it in various fields such as acquiring and cultivating
optimal talents suitable for military characteristics, appointing qualified personnel,
and supporting employment after discharge.

Improving Efficiency Through Defense The MND seeks to improve the
23) Resource Life Cycle Management productivity of defense operations
A system that converts
handwritten medical by utilizing various advanced tech-
records into integrated
electronic medical records nologies for the life cycle management of defense resources such as military supplies
and connects them to a
network so that any unit and military installations.
can access the same
medical records In terms of equipment maintenance, the MND is building a parts management
24) system that can accurately predict the equipment life and demand for spare parts
An intelligent production
24)
factory that improves demand using big data. It is also promoting the establishment of smart factories
productivity, quality, and
customer satisfaction by that apply a status-based maintenance system and a remote maintenance support
applying ICT combined system utilizing sensor data and advanced ICT.
with digital automation
solutions in the production First, with regard to equipment life and demand for repair parts, a demand predic-
process from design
and development to tion model was developed and is applied to improve the accuracy in predicting the
manufacturing and
distribution. It is a futuristic demand for repair parts. The MND is building a parts discontinuation management
factory where the facilities
and equipment are installed information system to cope with the increased cost and reduced equipment operation
with IoT to collect process
data in real time, analyze it, rate due to parts discontinuation.
and enable control by the
factory itself Moreover, a status-based maintenance system is being established based on sensor

142 2020 Defense White Paper