Hallym University Medical Center establishes Korea's first integrated digital pathology system...Pathology Diagnostics Leading the AI Era
Mar 13, 2025
Hallym University Medical Center (Director Kim Yong-sun) established the first medical center integrated digital pathology' that encompasses four affiliated hospitals for the first time in Korea and began full-scale operation on March 4.
Digital pathology is a cutting-edge technology that can convert a patient's tissue and cell slides, which were directly observed with a conventional microscope, into digital images through a high-resolution scanner and read them on a monitor. The digital pathology system introduced by Hallym University Medical Center consists of platforms including slide scanners, image management systems (IMS), and AI (artificial intelligence)-based morphometric inspection software.
Hallym University Medical Center has established a digital pathology system at the medical center level rather than a single hospital for the first time in Korea. In the future, four affiliated hospitals (Hallim University Sacred Heart Hospital, Hallim University Gangnam Sacred Heart Hospital, Hallim University Chuncheon Sacred Heart Hospital, and Hallim University Dongdong Sacred Heart Hospital) can share digital pathology images converted by each hospital in real time and cooperate with each other.
Medical staff can use digital pathology systems without time and place constraints, and AI analysis can be used to increase the accuracy and efficiency of pathology reading diagnosis. Digitized pathology data can be stored for a long time, so it can be used as future research and educational data, and it is easy to manage data because physical space is not required.
In particular, it is possible to share pathology images and reading information in real time by linking with the Hospital Information System (LIS), and collaboration on pathology reading through remote networks is also possible. It also supports consulting and consulting with external reader specialists with the function 'Reading Consulting'. Through this, it is expected that smooth data sharing and cooperation between hospitals under Hallym University Medical Center will be possible, and more precise and systematic pathological diagnosis will be made.
The introduction of the system is expected to bring various benefits to both hospitals and patients.
Hospitals can increase work efficiency such as ▲ pathology work efficiency ▲ shorten diagnosis time ▲ activate cooperation among medical staff ▲ assist diagnosis through AI-based analysis ▲ secure physical space ▲ prevent slide discoloration and damage. Patients are expected to improve their medical service quality further by ▲fast and accurate diagnosis ▲ use of remote pathology reading services without moving to places ▲ long-term pathology record management.
"Hallym University Medical Center will be able to effectively support medical staff's diagnostic work through advanced digital pathology technologies, including AI-based analysis, and provide faster and more accurate medical services to patients. We will do our best to provide patient-centered medical services through continuous digital innovation and help Hallym University Medical Center become a leading medical institution in the future.", he expressed his feelings.
Meanwhile, Hallym University Medical Center is leading the field of digital healthcare and creating various cases of digital medical innovation. It has developed 42 AI medical prediction models, the largest among domestic medical institutions, and is introducing the largest medical service robot in Korea to increase hospital operation efficiency and strengthen patient-centered medical services.
In addition, a real-time prediction program for medical conditions based on big data is developed and used for medical support and bed allocation for severely ill patients. Recently, it is actively integrating digital technologies into the medical field and leading medical innovation, such as simultaneously obtaining certification of 'medical data content and management system' for the first time in a medical institution.
Digital pathology is a cutting-edge technology that can convert a patient's tissue and cell slides, which were directly observed with a conventional microscope, into digital images through a high-resolution scanner and read them on a monitor. The digital pathology system introduced by Hallym University Medical Center consists of platforms including slide scanners, image management systems (IMS), and AI (artificial intelligence)-based morphometric inspection software.
Hallym University Medical Center has established a digital pathology system at the medical center level rather than a single hospital for the first time in Korea. In the future, four affiliated hospitals (Hallim University Sacred Heart Hospital, Hallim University Gangnam Sacred Heart Hospital, Hallim University Chuncheon Sacred Heart Hospital, and Hallim University Dongdong Sacred Heart Hospital) can share digital pathology images converted by each hospital in real time and cooperate with each other.
Medical staff can use digital pathology systems without time and place constraints, and AI analysis can be used to increase the accuracy and efficiency of pathology reading diagnosis. Digitized pathology data can be stored for a long time, so it can be used as future research and educational data, and it is easy to manage data because physical space is not required.
In particular, it is possible to share pathology images and reading information in real time by linking with the Hospital Information System (LIS), and collaboration on pathology reading through remote networks is also possible. It also supports consulting and consulting with external reader specialists with the function 'Reading Consulting'. Through this, it is expected that smooth data sharing and cooperation between hospitals under Hallym University Medical Center will be possible, and more precise and systematic pathological diagnosis will be made.
The introduction of the system is expected to bring various benefits to both hospitals and patients.
Hospitals can increase work efficiency such as ▲ pathology work efficiency ▲ shorten diagnosis time ▲ activate cooperation among medical staff ▲ assist diagnosis through AI-based analysis ▲ secure physical space ▲ prevent slide discoloration and damage. Patients are expected to improve their medical service quality further by ▲fast and accurate diagnosis ▲ use of remote pathology reading services without moving to places ▲ long-term pathology record management.
"Hallym University Medical Center will be able to effectively support medical staff's diagnostic work through advanced digital pathology technologies, including AI-based analysis, and provide faster and more accurate medical services to patients. We will do our best to provide patient-centered medical services through continuous digital innovation and help Hallym University Medical Center become a leading medical institution in the future.", he expressed his feelings.
Meanwhile, Hallym University Medical Center is leading the field of digital healthcare and creating various cases of digital medical innovation. It has developed 42 AI medical prediction models, the largest among domestic medical institutions, and is introducing the largest medical service robot in Korea to increase hospital operation efficiency and strengthen patient-centered medical services.
In addition, a real-time prediction program for medical conditions based on big data is developed and used for medical support and bed allocation for severely ill patients. Recently, it is actively integrating digital technologies into the medical field and leading medical innovation, such as simultaneously obtaining certification of 'medical data content and management system' for the first time in a medical institution.
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This article was translated by Naver AI translator.
