From the left, Woo-Kyung Kim, Director and Vice President of Medical Affairs at Gachon University Gil Medical Center; Mi-Ri Choi, Senior Vice President of Gachon University; Kyung-Jin Lee, CEO of Kakao Enterprise; Hee Hwang, CEO of Kakao Healthcare (Photo by Kakao Enterprise)
Kakao Enterprise's integrated cloud platform for enterprises, Kakao Cloud, and its bio data analysis platform will support the establishment of next-generation digital hospitals and universities.
On the 5th, Kakao Enterprise announced that it signed a memorandum of understanding for the next-generation digital hospital and university construction project with Gachon University Gil Medical Center, Gachon University, and Kakao Healthcare. The signing ceremony held on the afternoon of the 4th at Kakao Pangyo Ajit was attended by Lee Kyung-jin, CEO of Kakao Enterprise; Kim Woo-kyung, Director of Gachon University Gil Medical Center and Vice President of Medical Affairs; Choi Mi-ri, Senior Vice President of Gachon University; and Hwang Hee, CEO of Kakao Healthcare.
Gachon University Gil Medical Center is accelerating the establishment of its first branch, tentatively named Gachon University Seoul Gil Medical Center, in Wirye New Town, targeting completion by 2027. Based on a strategic partnership with Kakao Enterprise, Gachon University Gil Medical Center plans to build IT infrastructure based on Kakao Cloud from the groundbreaking stage to realize a next-generation digital hospital. The next-generation digital hospital planned by Gachon University Seoul Gil Medical Center aims to strengthen its capabilities as a research-oriented hospital through ▲transitioning IT infrastructure to a cloud-native approach ▲innovation in work methods ▲providing digital medical services ▲advancing research through medical data linkage between the hospital and university.
Recently, Gachon University, which established a cloud contract department together with Kakao Enterprise and recorded a competition rate of 135:1, is promoting digital innovation in university education. Through this agreement, it plans to digitalize the academic system in collaboration with Kakao Enterprise. Additionally, together with Gachon University Gil Medical Center, it plans to build a research analysis environment based on medical data and create AI models for research purposes.
Under this memorandum of understanding, Kakao Enterprise will provide high-performance computing (HPC) IT infrastructure of Kakao Cloud to Gachon University Seoul Gil Medical Center and Gachon University, while Kakao Healthcare will cooperate in technical support necessary for building smart solutions for hospitals and analyzing medical big data.
Lee Kyung-jin, CEO of Kakao Enterprise, emphasized, “Kakao Cloud supports hospitals and medical institutions to analyze medical information more meticulously and make accurate diagnoses with a stable high-performance computing environment. Through this four-party agreement, we will actively support Gachon University and Gachon University Seoul Gil Medical Center to become next-generation digital hospitals and universities based on Kakao Cloud, and furthermore, as a cloud company, we will fulfill our role to accelerate the growth of the domestic digital medical and educational ecosystem.”
Kim Woo-kyung, Director of Gachon University Gil Medical Center, said, “Gachon University Gil Medical Center has been a pioneer in introducing rapidly advancing cutting-edge IT technologies into the hospital environment, and Gachon University Seoul Gil Medical Center will present a new model where the advanced IT technologies of Kakao Enterprise and Kakao Healthcare are integrated with the hospital to the world.”
Choi Mi-ri, Senior Vice President of Gachon University, stated, “Taking this agreement as an opportunity, Gachon University plans to further enhance research infrastructure and educational systems that utilize medical big data between the university and hospital through the construction of AI-based cloud infrastructure, and actively expand systematic support for patient safety at Gil Medical Center by utilizing the university’s medical big data research infrastructure.”
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