scholarly journals Information Technology–Based Management of Clinically Healthy COVID-19 Patients: Lessons From a Living and Treatment Support Center Operated by Seoul National University Hospital (Preprint)

2020 ◽  
Author(s):  
Ye Seul Bae ◽  
Kyung Hwan Kim ◽  
Sae Won Choi ◽  
Taehoon Ko ◽  
Chang Wook Jeong ◽  
...  

BACKGROUND South Korea took preemptive action against coronavirus disease (COVID-19) by implementing extensive testing, thorough epidemiological investigation, strict social distancing, and rapid treatment of patients according to disease severity. The Korean government entrusted large-scale hospitals with the operation of living and treatment support centers (LTSCs) for the management for clinically healthy COVID-19 patients. OBJECTIVE The aim of this paper is to introduce our experience implementing information and communications technology (ICT)-based remote patient management systems at a COVID-19 LTSC. METHODS We adopted new electronic health record templates, hospital information system (HIS) dashboards, cloud-based medical image sharing, a mobile app, and smart vital sign monitoring devices. RESULTS Enhancements were made to the HIS to assist in the workflow and care of patients in the LTSC. A dashboard was created for the medical staff to view the vital signs and symptoms of all patients. Patients used a mobile app to consult with their physician or nurse, answer questionnaires, and input self-measured vital signs; the results were uploaded to the hospital information system in real time. Cloud-based image sharing enabled interoperability between medical institutions. Korea’s strategy of aggressive mitigation has “flattened the curve” of the rate of infection. A multidisciplinary approach was integral to develop systems supporting patient care and management at the living and treatment support center as quickly as possible. CONCLUSIONS Faced with a novel infectious disease, we describe the implementation and experience of applying an ICT-based patient management system in the LTSC affiliated with Seoul National University Hospital. ICT-based tools and applications are increasingly important in health care, and we hope that our experience will provide insight into future technology-based infectious disease responses.

10.2196/19938 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e19938 ◽  
Author(s):  
Ye Seul Bae ◽  
Kyung Hwan Kim ◽  
Sae Won Choi ◽  
Taehoon Ko ◽  
Chang Wook Jeong ◽  
...  

Background South Korea took preemptive action against coronavirus disease (COVID-19) by implementing extensive testing, thorough epidemiological investigation, strict social distancing, and rapid treatment of patients according to disease severity. The Korean government entrusted large-scale hospitals with the operation of living and treatment support centers (LTSCs) for the management for clinically healthy COVID-19 patients. Objective The aim of this paper is to introduce our experience implementing information and communications technology (ICT)-based remote patient management systems at a COVID-19 LTSC. Methods We adopted new electronic health record templates, hospital information system (HIS) dashboards, cloud-based medical image sharing, a mobile app, and smart vital sign monitoring devices. Results Enhancements were made to the HIS to assist in the workflow and care of patients in the LTSC. A dashboard was created for the medical staff to view the vital signs and symptoms of all patients. Patients used a mobile app to consult with their physician or nurse, answer questionnaires, and input self-measured vital signs; the results were uploaded to the hospital information system in real time. Cloud-based image sharing enabled interoperability between medical institutions. Korea’s strategy of aggressive mitigation has “flattened the curve” of the rate of infection. A multidisciplinary approach was integral to develop systems supporting patient care and management at the living and treatment support center as quickly as possible. Conclusions Faced with a novel infectious disease, we describe the implementation and experience of applying an ICT-based patient management system in the LTSC affiliated with Seoul National University Hospital. ICT-based tools and applications are increasingly important in health care, and we hope that our experience will provide insight into future technology-based infectious disease responses.


Author(s):  
Sun Young Lee ◽  
EunKyo Kang ◽  
Yon Su Kim ◽  
BeLong Cho ◽  
Min Sun Kim ◽  
...  

With the outbreak of coronavirus disease 2019 (COVID-19), there is a need for efficient management of patients with mild or no symptoms, which account for the majority. The aim of this study is to introduce the structure and operation protocol of a living and treatment support centre (LTSC) operated by Seoul National University Hospital in South Korea. The existing accommodation facility was converted into a 'patient centre' where patients was isolated. A few Medical staff here performed medical tests and responded to emergencies. Another part of the LTSC was 'remote monitoring centre'. In this center, patients’ self-measured vital signs and symptoms were monitored twice a day, and the medical staff staying here provided video-consultation via a smartphone. During the 3 weeks from March 5 to March 26, 2020, 113 patients were admitted and treated. LTSC could be an efficient alternative to hospital admission in pandemic situation like COVID-19.


1991 ◽  
Vol 38 (2) ◽  
pp. 119-127
Author(s):  
Yong Chol Han ◽  
Chul Gyu Yoo ◽  
Young Whan Kim ◽  
Sung Koo Han ◽  
Young Soo Shim ◽  
...  

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Han-Gil Jeong ◽  
Beom-Joon Kim ◽  
Chi Kyung Kim ◽  
Jun Yup Kim ◽  
Dong-Wan Kang ◽  
...  

Background: Red thrombi, composed of fibrin and trapped erythrocytes, have magnetic susceptibility effect. Susceptibility vessel sign (SVS) is visualized more sensitively using susceptibility weighted imaging (SWI) than T2*-weighted imaging. Bright vessel appearance (BVA) on arterial spin labeling (ASL) imaging can visualize occluded arterial segment by arterial transit artifact, more sensitively in small and peripheral branches. We investigated the usefulness of SWI-SVS with BVA to visualize different thrombus and predict stroke mechanisms. Methods: From a total of 564 stroke cases who admitted to Seoul National University Hospital in 2014, the authors collected eligible cases with the following inclusion criteria; (1) Lesion-documented ischemic stroke (N=425); (2) SWI and ASL MRI performed (N=407); (3) Symptomatic arterial occlusion with BVA (N=141). All images were analyzed for the presence and location of SWI-SVS and BVA. The location of SWI-SVS and BVA were classified into (1) proximal, large arteries; distal ICA, M1/2, A1, P1, basilar artery, V4 and (2) peripheral, small arteries; M3/4, P2/3, A2/3, lenticulostriate arteries, three cerebellar arteries. The relationships between SWI-SVS in the presence of BVA and stroke etiologies are explored. Results: Male was 58.2% (n=82) and mean age was 65.7±14.3. Thirty-four percent (n=48/141) of BVA and 30.3% (n=30/99) of SVS was located within small, peripheral arteries. SWI-SVS was more commonly associated with other determined etiology (20.2% vs. 4.8%) and cardioembolism (39.4% vs. 14.3%), but less with large artery atherosclerosis (26.3% vs. 69.0%, P <0.01) compared to the patients without SWI-SVS. Cancer-related hypercoagulability (60%, n=12/20) was most common in other determined cases with SWI-SVS. Multivariate analysis showed that SWI-SVS was an independent predictor of other determined etiology (adjusted OR, 7.20; 95% CI, 1.48-34.99) and cardioembolism (adjusted OR, 5.76; 95% CI, 1.27-26.02) Conclusions: SWI-SVS with BVA may predict ischemic stroke of cardioembolism and other determined etiology. Occlusions of small, peripheral arteries are well visualized with BVA and composition of thrombus can be identified by SWI-SVS.


1997 ◽  
pp. 447-463
Author(s):  
Kuhn Uk Lee ◽  
Eui Gon Youk ◽  
Keon-Young Lee

2019 ◽  
Vol 23 (2) ◽  
pp. 76-82
Author(s):  
Wan-Ho Cho ◽  
Cheol-Ho Jeong ◽  
Ji-Ho Chang ◽  
Seong-Hyun Lee ◽  
Moo Kyun Park ◽  
...  

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