KT and Seoul National University Hospital Move to Standardize Public Medical AI Platform
IT DAILY ·
✦ AI Summary
KT and Seoul National University Hospital have signed a memorandum of understanding for “strategic cooperation across the entire medical AX field.” The two sides will jointly build a medical AI transformation (AX) platform to support innovation across the entire medical field. Seoul National University Hospital will be responsible for identifying tasks for field application in clinical, treatment, and research settings, as well as providing medical advice and evaluating effectiveness.
KT and Seoul National University Hospital have signed a memorandum of understanding for “strategic cooperation across the entire medical AX field.” The photo shows Kim Bong-kyun, head of KT Enterprise, and Park/Paik? No, the source says Baek Nam-jong, president of Seoul National University Hospital.
On the 17th, KT said it would work with Seoul National University Hospital to jointly build a medical AI transformation (AX) platform to support innovation across the medical field. The partnership focuses on building an integrated platform that connects care, nursing, research, and hospital operations, going beyond the adoption of individual medical AI solutions.
At the heart of the cooperation is an approach that is not limited to applying AI to a specific department or a single task. By combining Seoul National University Hospital’s clinical and research capabilities with KT’s AI, cloud, and data technologies, the two sides plan to establish a common foundation for developing and verifying a variety of AI services for medical institutions and to identify a standard model for the medical AX platform.
The goal is to establish a “medical AX standard model” that can be applied to other public medical institutions after its medical effectiveness is verified at Seoul National University Hospital.
The scope of the initiative includes identifying and applying a standard model for the medical AX platform, demonstrating, advancing, and commercializing government policy tasks such as “AI native hospitals,” AI-based clinical decision support, improving efficiency in care, nursing, research, and operations, and expanding into the healthcare market.
KT will take part in the entire process of planning, developing, verifying, and commercializing the medical AX platform, and will provide a platform foundation that can connect multiple systems and AI services within hospitals by combining AI, cloud, and data.
Seoul National University Hospital will be responsible for identifying tasks that can be applied in clinical, treatment, and research settings, as well as providing medical advice and evaluating effectiveness. Medical staff will use AI in actual workflows and verify the accuracy and usefulness of the results, and those findings will be fed back into platform improvements.
This division of roles reflects the fact that it is difficult to judge whether medical AI should be introduced in the field based on technical performance alone. Even with the same AI model, performance and usability can vary depending on the patient mix, the quality of medical data, and hospital workflows, so Seoul National University Hospital will handle task identification and effectiveness evaluation to narrow the gap between technology development and clinical validation.
The partnership will proceed in connection with Seoul National University Hospital’s effort to build a “group integrated digital transformation (DX) platform,” and was presented as a plan to combine KT’s platform and infrastructure with the hospital’s clinical and AI research system. The goal is to create a medical AX ecosystem that links research and development, demonstration, and commercialization. KT and Seoul National University Hospital also said they plan to present a standard model for public medical AI.
Because data formats, information systems, and workflows differ by hospital, repeated one-off builds at each hospital could increase development time and costs. Accordingly, it was noted that if a structure is created in which hospital-specific functions are added on top of a common platform foundation, there is room for expansion to other national and public hospitals and public medical institutions.
However, prerequisites for establishing the standard model include resolving interoperability for medical data, addressing personal information protection, linking with existing electronic medical record (EMR) systems, and defining the scope of medical staff responsibility for AI judgments. The data standards, security, and governance framework to be presented in future demonstration efforts are expected to be key to expanding the business.
KT plans to strengthen its medical AX business capabilities through this partnership. It plans to expand platform-based cooperation with medical institutions and to spread the AI usage model validated at Seoul National University Hospital into the public medical sector.
Baek Nam-jong, president of Seoul National University Hospital, said the hospital will seek to establish standards for platform cooperation among medical institutions. He also said the hospital aims to identify and spread practical AI innovation models that can be applied across public healthcare, and expressed the will to lead these efforts so that the public can enjoy safer and higher-quality medical services.
Kim Bong-kyun, vice president and head of KT Enterprise, said KT is supporting AX across various industries based on its proven AX platform technology and know-how. He added that, starting with its cooperation with Seoul National University Hospital, KT plans to create AI-based innovation models in the public medical market.
Source: IT DAILY · Lee Jae-young
Original: https://www.itdaily.kr/news/articleView.html?idxno=241029
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Source: IT DAILY
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