Yonsei University and Nursing University cooperate in developing AI to automate nursing administration work...Secured 6.3 billion won in state funds
Oct 17, 2025
Yonsei University's College of Medicine and Nursing will roll their arms to ease the administrative burden on nurses.
Professor Kim Hwi-young of Yonsei University (Neuroscience School Office) and Professor Choi Mo-na of Yonsei University of Nursing (Nursing Information Research Office) will carry out the Digital Healthcare Bio-Industrial Technology Development Project supported by the Ministry of Trade, Industry and Energy. The state funding amounts to 6.3 billion won over five years.
Accurate records of patients are essential for the treatment, diagnosis, and treatment nursing processes in which patients' lives come and go. The nurse in charge of these records manages all health data in detail and detail, such as patient condition, before and after surgery, and medication content, in the inpatient ward, outpatient treatment space, and operating room. At the same time, direct nursing tasks such as patient response, medication management, and patient education must also be performed, which is a considerable burden.
Professor Kim Hwi-young's team's implementation of the national task began with the provision of an environment in which nurses could focus more on patient care while reducing the burden of recording work at the nursing site. Led by a professor at a university hospital who treats patients every day, a professor at a medical school, and a professor at a nursing college, the task focused on improving difficulties and inefficiencies in nursing record work in the medical field.
Developed by Professor Kim Hwi-young's team, 'Care Record Automation AI' is a solution that automatically generates and summarizes nursing records and standardizes them. By combining medical-specialized super-large language models (LLM) and multimodal AI technology, ▲ nursing information survey paper ▲ surgical nursing record paper ▲ administration record paper ▲ discharge record paper is automated. It is expected that the introduction of AI will reduce the burden of recording work in the medical field, while medical staff will be able to focus more on patient care.
Professor Kim Hwi-young of the Medical School said "We plan to link this solution model, which seeks to automate cloud-based nursing records, with the hospital's medical record system and spread it to a global standard after a multi-center pilot operation.".
Professor Mo-na Choi of the College of Nursing added, `We plan to secure international-level technological competitiveness and lay the foundation for entry into overseas markets in the future by linking with global standards such as HL7 (Health Level 7), which transmits clinical and health data.'
Meanwhile, this project will be jointly carried out by the National Cancer Center and Main Co., Ltd.
Professor Kim Hwi-young of Yonsei University (Neuroscience School Office) and Professor Choi Mo-na of Yonsei University of Nursing (Nursing Information Research Office) will carry out the Digital Healthcare Bio-Industrial Technology Development Project supported by the Ministry of Trade, Industry and Energy. The state funding amounts to 6.3 billion won over five years.
Accurate records of patients are essential for the treatment, diagnosis, and treatment nursing processes in which patients' lives come and go. The nurse in charge of these records manages all health data in detail and detail, such as patient condition, before and after surgery, and medication content, in the inpatient ward, outpatient treatment space, and operating room. At the same time, direct nursing tasks such as patient response, medication management, and patient education must also be performed, which is a considerable burden.
Professor Kim Hwi-young's team's implementation of the national task began with the provision of an environment in which nurses could focus more on patient care while reducing the burden of recording work at the nursing site. Led by a professor at a university hospital who treats patients every day, a professor at a medical school, and a professor at a nursing college, the task focused on improving difficulties and inefficiencies in nursing record work in the medical field.
Developed by Professor Kim Hwi-young's team, 'Care Record Automation AI' is a solution that automatically generates and summarizes nursing records and standardizes them. By combining medical-specialized super-large language models (LLM) and multimodal AI technology, ▲ nursing information survey paper ▲ surgical nursing record paper ▲ administration record paper ▲ discharge record paper is automated. It is expected that the introduction of AI will reduce the burden of recording work in the medical field, while medical staff will be able to focus more on patient care.
Professor Kim Hwi-young of the Medical School said "We plan to link this solution model, which seeks to automate cloud-based nursing records, with the hospital's medical record system and spread it to a global standard after a multi-center pilot operation.".
Professor Mo-na Choi of the College of Nursing added, `We plan to secure international-level technological competitiveness and lay the foundation for entry into overseas markets in the future by linking with global standards such as HL7 (Health Level 7), which transmits clinical and health data.'
Meanwhile, this project will be jointly carried out by the National Cancer Center and Main Co., Ltd.
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This article was translated by Naver AI translator.
