Innogrid Demonstrates Mobile Medical Platform Based on 5G Edge, Expands AI Infrastructure Operations
TECHWORLD ·
✦ AI Summary
Innogrid is participating in the "5G-based Mobile Flexible Medical Platform" project.
In this project, Innogrid is responsible for developing integrated operation and management technology for medical services and infrastructure.
At the integrated demonstration in Okcheon, North Chungcheong, on the 8th, the linkage among the mobile hospital module, AI ambulance, and medical SW platform was tested in a simulated complex disaster involving 30 people.
Innogrid is developing integrated operation technology for medical devices, AI software (SW), and medical information for a mobile hospital based on 5G edge computing, with the goal of extending its data center and cloud infrastructure operations capabilities to real-world medical settings such as disaster sites and medically underserved areas. Under this goal, Innogrid is participating in the "5G-based Mobile Flexible Medical Platform" project.
In this project, Innogrid is responsible for developing integrated operation and management technology for medical services and infrastructure. The project is being carried out through division-of-labor development by task, covering mobile hospital modules, medical devices, a flexible medical SW platform, and demonstration-based work.
The goal of the project is to deploy mobile hospitals to sites where medical demand surges, such as disaster zones, outbreak areas for infectious diseases, and medically underserved regions. The project aims to provide care at the level of a secondary general hospital through this approach.
The project is scheduled to run for 5 years starting in 2022. Innogrid recently said it had verified the feasibility of field application through a multi-ministry integrated demonstration.
Innogrid is participating in the task, "Development of Flexible Medical 5G Edge Computing SW for Supporting Mobile Customized Medical Services," led by the Electronics and Telecommunications Research Institute (ETRI). The Korea Electronics Technology Institute, DKI Technology, the Industry-Academia Cooperation Foundation of Honam University, and the Korea Cloud Computing Research Association are also participating as co-research institutions.
The core of the task is to connect the medical devices and treatment AI SW of mobile hospitals into a single system. The aim is to link this with the treatment support system, electronic medical records (EMR), and the cloud hospital information system (HIS) so that on-site medical staff can quickly use the information they need.
Because the communications environment and available computing resources differ in each area where a mobile hospital is deployed, it is important to configure infrastructure and services appropriately for the situation and ensure stable operation. For this, Innogrid is responsible for developing an integrated operation framework for the flexible medical service system, mobile hospital SW lifecycle management technology, and integrated infrastructure and service operation and management technology.
This system focuses on managing medical SW deployment and operations, on-site computing resources, and medical service status under a single framework. Its purpose is to enable multi-system linkage in a 5G edge environment and flexible configuration of the resources needed for each field situation.
To verify this, the project participants carried out an integrated demonstration in Okcheon, North Chungcheong, on the 8th. The demonstration simulated a complex disaster involving 30 people and linked the mobile hospital module, the AI ambulance, and the medical SW platform according to a disaster response scenario. The review was conducted by external experts, and the evaluation items were suitability for field deployment and operational completeness. In the SW area, the verification items included data linkage between systems, linkage speed, cloud-based sharing of medical information, field network operations such as 5G, and response to disruptions.
Based on the demonstration results, Innogrid plans to advance the related technologies. The goal of that advancement is to ensure stable operation of infrastructure and services in real medical settings.
Based on the edge computing and integrated operation experience it has accumulated in the medical sector, Innogrid is pursuing the development of converged services that apply edge computing to non-medical fields such as urban transportation and smart construction. It is also pursuing the development of cloud technology for single-environment connection and operation of distributed micro data centers near sites such as factories and hospitals.
This experience is linked to the technology vision of "From xPU to AI Platform." Innogrid is envisioning a single control framework that connects various computing resources such as GPU, NPU, and CPU with AI development, training, deployment, and operations environments. It is also considering expanding the scope of AI infrastructure operations beyond data centers to the sites where data is generated, including medical care, manufacturing, and smart cities.
Kim Myeong-jin, CEO of Innogrid, said that as AI use expands into industrial settings, the ability to connect infrastructure with AI and service SW into a single system and operate it stably is becoming increasingly important. He added that the company plans to advance the 5G edge computing and integrated operation technologies secured through the flexible medical project, and expand the scope of AI infrastructure operations to various industrial sites.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408626
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Source: TECHWORLD
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