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AI Healthcare

KMI Joins Government Medical AI Talent Training, Expands AI Screening Education

Dong-A Ilbo | Updated 2026.05.19
At the “2026 Medical AI Healthcare Workforce Job Training Project Kick-off” held at the Korea Human Resource Development Institute for Health and Welfare on April 30, (from left) Bae Nam-young, Acting President of the Korea Human Resource Development Institute for Health and Welfare, Kim Chan-woong, Director of Digital Healthcare at Chung-Ang University Medical Center, and Ahn Ji-hyun, Head of the Research Business Division at KMI Korea Medical Institute, pose for a commemorative photo after the signing ceremony.
KMI Korea Medical Institute (KMI) will participate in a government-led program to foster professionals specializing in medical AI. As AI-based reading assistance, health screening data analysis, and document automation are being introduced more rapidly in clinical settings, securing practical personnel who understand both medicine and AI technology is emerging as a new challenge, according to analysis.

KMI announced on the 19th that it has been selected as a partner institution for the “2026 Medical AI Healthcare Workforce Job Training Project” promoted by the Ministry of Health and Welfare and the Korea Human Resource Development Institute for Health and Welfare.

Recently in medical practice, applications such as health screening result summaries using generative AI, preparation of consultation documents, and automated data analysis have been spreading quickly. In a survey published this year by the Korea Health Industry Development Institute, 47.7% of physicians in Korea responded that they had experience using medical AI. However, only 5.1% of medical institutions had internal AI utilization guidelines, and only 24.1% reported formal training experience. This is why securing practitioners who understand both medicine and AI technology is emerging as a key issue.

This project aims to promote the digital transformation of medical institutions and reduce regional gaps in medical AI technology. Chung-Ang University Gwangmyeong Hospital will serve as the main operating institution, with KMI and NDS participating as partner institutions. The project period is approximately seven months, from April to November this year, with a total budget of KRW 90 million.

KMI plans to operate medical AI training courses for healthcare professionals, medical technicians, and IT staff, with participation from its foundation headquarters and eight health screening centers nationwide (Gwanghwamun, Yeouido, Gangnam, Suwon, Daegu, Busan, Gwangju, and Jeju). In particular, more than 30% of all trainees will be drawn from employees based outside the Seoul metropolitan area, in an effort to help spread regional capabilities in medical AI.

The curriculum will consist of theory- and practice-oriented programs such as “Essentials of Medical AI: From Understanding the Technology to Smart Health Screening Practice” and “AI for Healthcare Impact: Mastering Generative AI Assistants and Workflow Automation.” It will cover AI fundamentals and the use of medical data, medical AI research and development case studies, AI ethics and security training, and hands-on exercises in generative AI-based document creation and data analysis.

In particular, practice-oriented training will be provided on workflow automation using generative AI, analysis based on health screening data, report automation, and AI-based decision support.

KMI stated that, using this project as a stepping stone, it also plans to accelerate the development of smart health screening based on big data from health checkups and medical AI, as well as the establishment of a prevention-centered health management model.

Lee Kwang-bae, Chairman of KMI, said, “The scope of application of medical AI technology is rapidly expanding in the fields of health screening and preventive medicine as well,” adding, “We will strive to contribute to the advancement of next-generation health screening services through this training project.”

Choi Hyun-jeong

AI-translated with ChatGPT. Provided as is; original Korean text prevails.
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