In order to combat the severe epidemic of the new type of coronavirus pneumonia (COVID-19), Su Huey-Jen, the president of National Cheng Kung University, led the NCKU and affiliated medical centers to integrate a number of smart medical treatments. They established a "smart medical clinical decision support system" to increase quarantine efficiency by 5 to 6 times. The time required for a high-risk patient to enter quarantine after the physician's diagnosis was originally 2 and a half hours. After smart medicine integration, it can be completed in less than 30 minutes. Smart medicine can also reduce the risk of cross-infection between medical staff, patients and the quarantine staffs. At the same time, the NCKU interdisciplinary team created the home quarantine policy with a "WEN-SHIN（溫心）smart band". Shan Yan-Shen, the dean of the medical college, and Shen Meng-Ru, the president of the NCKU Hospital stated that since the epidemic struck, NCKU and NCKU hospital immediately mobilized for epidemic prevention. The establishment of a smart medical system will make the quarantine work more efficiently with more reliability.
The Ministry of Science and Technology (MOST) has traditionally supported NCKU's development in the smart medical care field. Xie Da-Bin, the Deputy Minister of Science and Technology, stated that NCKU has grasped and utilized the latest scientific and technological trends.
The "Smart Medical Clinical Decision Assistance System" includes front-end medical record automation, chest X-ray artificial intelligence to assist in the interpretation of pneumonia, and real-time updated clinical decisions based on the latest daily epidemic development provided by the CDC. This results in greatly improving the decision-making in quarantine and prevention.
NCKU also adopts intelligent monitoring for students living in school dormitories under home quarantine. The "WEN-SHIN（溫心）smart band" developed by an NCKU interdisciplinary team continuously monitors body temperature and heartrate as predictive symptoms indicators. When the body temperature of the wearer rises, the mobile phone APP can be used to help confirm the abnormal symptoms and remind the student to seek medical treatment. At present, the bands are regularly collected every week, and then management personnel uploads the data to a cloud platform for follow-up. Shan Yan-Shen, the dean of NCKU Medical College, stated that NCKU's home-based quarantine measures are thorough and rigorous and are a model system for Taiwan.
NCKU Hospital is highly vigilant against the epidemic situation and does not show any slackness due to the Chinese New Year. The director of the hospital, Shen Meng-Ru, started the “Wuhan Pneumonia Clinical Quarantine Station” before Chinese New Year. The first step was to set up 8 high-specification tent quarantine stations outside the emergency room as the front line of epidemic prevention sites. At the same time, modular quarantine house stations were built to improve the anti-epidemic preparedness specifications. Shen Meng-Ru said that the epidemic prevention tent is a “high pressure situation”. The patients are uneasy and the medical staff are under great psychological pressure. Therefore, the hospital is committed to standardizing and speeding up the entire process to prevent the risk of infection.
In the second step, the research results of the "AI Biomedical Research Center at National Cheng Kung University" and the "Top-notch Integration Project" of the Ministry of Science and Technology were included into the smart medical treatment in large hospitals to automate medical records. , Close contact during traditional paper work filling or verbal inquiry of medical history may increase the risk of infection between medical staff and patients. The automated medical record system allows patients to use tablets to independently fill in travel history, occupation history, contact history, cluster history… etc. Medical record data is uploaded into the electronic medical record system, and medical staff can immediately identify relevant data for clinical decision-making. Each tablet will be disinfected with alcohol after patient use.
The third step was the introduction of AI-assisted detection of pneumonia. "Chest X-Ray Artificial Intelligence Interpretation of Pneumonia System Model" was developed by the AI and the hospital information teams of NCKU Hospital. The pneumonia image data of NCKU Hospital was uploaded and is currently used to assist 152 patients with suspected COVID-19 screening. The sensitivity and accuracy can be achieve 80% and 90% accuracy.
The quarantine 3-step project from NCKU Hospital combined with the latest daily epidemic development provided by the CDA, for example the expansion of the epidemic prevention control area, was integrated into a "smart medical clinical decision support system".This system is built into the computer system at the quarantine station so clinical decisions during the epidemic are no longer stressful for medical staff.
In order to avoid the continuous infection of people with virus, monitoring and forecasting is very important part. NCKU's multi-disciplinary team and the technology manufacturer Pan-Xu Intelligent（盤旭）jointly developed a "WEN-SHIN（溫心）smart band ". The band can continuously monitor the patient's body temperature and heartrate. Before the fever, there is an early rise in body surface temperature. By wearing the band, a patient can be warned of oncoming fever. Real-time temperature change monitoring, real-time alerts to abnormalities, and recommendation to take appropriate actions early. At present, there are more than 130 medical and nursing colleagues in NCKU Hospital voluntarily wearing "WEN-SHIN（溫心）smart bands ". Students currently in quarantine at NCKU who are suspected cases and their household contacts also use the "WEN-SHIN（溫心）smart band" for continuous real-time temperature detection.
In this epidemic prevention period, the NCKU; hospital, medical college, electrical information college, science college, and management college are a cross-disciplinary, inter-departmentalteam, combining medical resources, using "scientific" and "professional" to prevent epidemics. The "Medical Record Automated System" is led by the director of the Clinical Medical Research Center, Liu Bing-Yan, who directs a team of information engineers from to seamlessly integrate the experience of the precision medical record automated system during the past year.
The "Chest X-Ray Artificial Intelligence Interpretation of Pneumonia System Model" was developed by Tsai Yi-Shan, a physician in the Department of Imaging Medicine at NCKU Hospital. The automatic AI interpretation model of tuberculosis X-ray film was imported into the pneumonia image data from NCKU hospital. The hospital information team and Professor Sun Yong-Nian's team from the School of Electricity and Energy also actively participated in the development of the AI Biomedical Medical Innovation Research Center.
The "WEN-SHIN（溫心）smart band" is supported by the Department of Foresight and Innovation Policies of the Ministry of Science and Technology. Ke Nai-Ying, the head of the Nursing Department of NCKU, Ke Wen-Qian, the deputy director of NCKU Hospital, Chen Po-Ling, the deputy director of NCKU Infection Control Center, Chuang Kun-Ta, associate professor of NCKU Information Engineering Department, Gao Hong-Yu, head of NCKU Department of Information Engineering, and Shu Yu-Zheng, associate professor of NCKU Department of Mathematics, all contributed to research and development with technology companies.