Hospital, medical staff, and patients who have become smart are all satisfied...After developing a Generative AI at Hallym University Medical Center
Feb 05, 2025
Hallym University Medical Center (Director Kim Yong-sun) has developed a Generative AI that automatically drafts all medical records from hospitalization to discharge, and can easily search and consult the hospital's medical guidelines, regulations, and standards 24 hours a day through interactive questions. As the Generative AI drafts medical records and confirms regulations, it is expected that the time of medical staff for patients will be greatly increased.
On December 30 last year, Hallym University Medical Center signed a business contract with Conan Technology (CEO Kim Young-sum), an artificial intelligence software company, to prepare a Generative AI inpatient electronic records and establish a medical center's knowledge counseling platform.
Based on the AI smart hospital system of Hallym University Medical Center, the network of five hospitals under its subsidiary, and Conan Technology's Generative AI technology, the two institutions decided to jointly develop a Generative AI platform specialized in the medical field by July.
◇ Completion of medical records with generative AI…Save 38,000 hours a year
The newly developed Generative AI medical record preparation platform automatically generates a draft medical record based on the data and medical information input upon patient reception. Hallym University Medical Center selected and reviewed learning materials by type of medical records for platform development and conducted verification of medical records generated by AI. Through this, it is expected to drastically reduce the time required for medical staff to write medical records by hand.
Hospital medical staff prepare various types of medical records such as hospitalization records, progress records, discharge summary records, and transfer records until the patient is hospitalized and discharged. About 1.15 million medical records are prepared annually at five hospitals under the Hallym University Medical Center.
Each medical record takes an average of about 4 minutes, and the total writing time is about 76,000 hours per year. The introduction of the Generative AI platform is expected to reduce the time required to write medical records by half, saving about 38,000 hours a year. Through this, Hallym University Medical Center plans to increase the quality of medical care by reducing the burden on medical staff and creating an environment where they can focus more on patient treatment. In addition, AI-based medical records can be expected to improve the quality of electronic medical records (EMRs) by increasing accuracy and strengthening data standardization.
◇Counseling complex medical knowledge, now easy to use with AI chatbots
Various regulations that hospitals must always check in relation to patient care and hospital operation, such as standard medical care guidelines, certification evaluation regulations, insurance benefit recognition standards, and screening standards, are scattered in many places and have limited access, making it inconvenient to check.
Accordingly, Hallym University Medical Center develops a Generative AI chatbot that can accurately guide regulations through interactive questions. The chatbot will support real-time information retrieval and customized counseling for faculty and staff at Hallym University Medical Center using RAG (Retrieval-Augusted Generation) technology. It also plans to provide 24-hour counseling services through the web and mobile device devices.
Professor Lee Min-woo of the Department of Neurology at Hallym University Medical Center (Hallym University Medical Center) said, "With the development of this platform, we will be able to automatically generate medical records for inpatients using Generative AI and provide high-quality medical services by enabling 24-hour real-time customized counseling for faculty members. We will standardize and upgrade the hospital's data through AI technology to accelerate the digital transformation of Hallym University Medical Center and present a leading model for AI hospitals."
On December 30 last year, Hallym University Medical Center signed a business contract with Conan Technology (CEO Kim Young-sum), an artificial intelligence software company, to prepare a Generative AI inpatient electronic records and establish a medical center's knowledge counseling platform.
Based on the AI smart hospital system of Hallym University Medical Center, the network of five hospitals under its subsidiary, and Conan Technology's Generative AI technology, the two institutions decided to jointly develop a Generative AI platform specialized in the medical field by July.
◇ Completion of medical records with generative AI…Save 38,000 hours a year
The newly developed Generative AI medical record preparation platform automatically generates a draft medical record based on the data and medical information input upon patient reception. Hallym University Medical Center selected and reviewed learning materials by type of medical records for platform development and conducted verification of medical records generated by AI. Through this, it is expected to drastically reduce the time required for medical staff to write medical records by hand.
Hospital medical staff prepare various types of medical records such as hospitalization records, progress records, discharge summary records, and transfer records until the patient is hospitalized and discharged. About 1.15 million medical records are prepared annually at five hospitals under the Hallym University Medical Center.
Each medical record takes an average of about 4 minutes, and the total writing time is about 76,000 hours per year. The introduction of the Generative AI platform is expected to reduce the time required to write medical records by half, saving about 38,000 hours a year. Through this, Hallym University Medical Center plans to increase the quality of medical care by reducing the burden on medical staff and creating an environment where they can focus more on patient treatment. In addition, AI-based medical records can be expected to improve the quality of electronic medical records (EMRs) by increasing accuracy and strengthening data standardization.
◇Counseling complex medical knowledge, now easy to use with AI chatbots
Various regulations that hospitals must always check in relation to patient care and hospital operation, such as standard medical care guidelines, certification evaluation regulations, insurance benefit recognition standards, and screening standards, are scattered in many places and have limited access, making it inconvenient to check.
Accordingly, Hallym University Medical Center develops a Generative AI chatbot that can accurately guide regulations through interactive questions. The chatbot will support real-time information retrieval and customized counseling for faculty and staff at Hallym University Medical Center using RAG (Retrieval-Augusted Generation) technology. It also plans to provide 24-hour counseling services through the web and mobile device devices.
Professor Lee Min-woo of the Department of Neurology at Hallym University Medical Center (Hallym University Medical Center) said, "With the development of this platform, we will be able to automatically generate medical records for inpatients using Generative AI and provide high-quality medical services by enabling 24-hour real-time customized counseling for faculty members. We will standardize and upgrade the hospital's data through AI technology to accelerate the digital transformation of Hallym University Medical Center and present a leading model for AI hospitals."
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This article was translated by Naver AI translator.
