From Isolation to Coordination: How Can Telemedicine Help Combat the COVID-19 Outbreak?
Zhai, Y.; Wang, Y.; Zhang, M.; Gittell, J. H.; Jiang, S.; Chen, B.; Cui, F.; He, X.; Zhao, J.; Wang, X.
Show abstract
The rapid spread of Coronavirus disease 2019 (COVID-19) presents China with a critical challenge. As normal capacity of the Chinese hospitals is exceeded, healthcare professionals struggling to manage this unprecedented crisis face the difficult question of how best to coordinate the medical resources used in highly separated locations. Responding rapidly to this crisis, the National Telemedicine Center of China (NTCC), located in Zhengzhou, Henan Province, has established the Emergency Telemedicine Consultation System (ETCS), a telemedicine-enabled outbreak alert and response network. ETCS is built upon a doctor-to-doctor (D2D) approach, in which health services can be accessed remotely through terminals across hospitals. The system architecture of ETCS comprises three major architectural layers: (1) telemedicine service platform layer, (2) telemedicine cloud layer, and (3) telemedicine service application layer. Our ETCS has demonstrated substantial benefits in terms of the effectiveness of consultations and remote patient monitoring, multidisciplinary care, and prevention education and training.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Model of Workflow in the Hospital During a Pandemic to Assist Management 93%
- Regional medical inter-institutional cooperation in medical provider network constructed using patient claims data from Japan 92%
- A flexible method for optimising sharing of healthcare resources and demand in the context of the COVID-19 pandemic 91%
Similar papers in this journal
- Development and Validation of a Machine Learning Model Integrated with the Clinical Workflow for Inpatient Discharge Date Prediction 92%
- Large Language Models in Real-World Clinical Workflows: A Systematic Review of Applications and Implementation 90%
- An automated Dashboard to improve laboratory COVID-19 diagnostics management 89%
Similar papers in this journal
- COVID-SGIS: A smart tool for dynamic monitoring and temporal forecasting of Covid-19 91%
- Uncovering COVID-19 Transmission Tree: Identifying Traced and Untraced Infections in an Infection Network 89%
- AI-Driven Early Detection of Severe Influenza in Jiangsu, China: A Deep Learning Model Validated Through The Design of Multi-Center Clinical Trials and Prospective Real-World Deployment 89%
Similar papers in this journal
- Design and implementation of a system for automated monitoring of adherence to evidenced-based clinical guideline recommendations 92%
- Quantified Flu: an individual-centered approach to gaining sickness-related insights from wearable data 91%
- COHD-COVID: Columbia Open Health Data for COVID-19 Research 91%
Similar papers in this journal
- From months to minutes: creating Hyperion, a novel data management system expediting data insights for oncology research and patient care 91%
- Performance of Generative Pretrained Transformer on the National Medical Licensing Examination in Japan 91%
- Emulation of epidemics via Bluetooth-based virtual safe virus spread: experimental setup, software, and data 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.