VTE smart healthcare

For the prevention and management of VTE in the hospital, we need to establish a SAAS platform to analyze patients’ signs and diagnostic data by using natural language processing technology. Based on VTE knowledge map and Al model of risk prediction, patients’ VTE risk should be dynamically monitored and timely sent to medical staff for timely treatment and action guidance. And it’s expected to provide patients with targeted scientific knowledge on VTE prevention; meanwhile, it should monitor VTE prevention and treatment in the hospital in real time, conduct clinical quality assessment, and help hospital managers carry out management of the whole process. For the prevention and management of VTE outside the hospital, patients’ physical condition should be continuously monitored. Based on big data and deep learning algorithms, patients’ portraits should be depicted, and accurate diagnosis and treatment recommendations, targeted prevention and treatment products or services should also be proactively provided.