医院电子信息系统中的远程监护与诊断技术研究

Key Points

• Investigate the effectiveness of remote monitoring and diagnostic technologies in hospital electronic systems.
• Integrated wearable devices and implantable sensors with edge computing.
• Utilized deep learning models within a federated learning framework.
• Established a data exchange system based on HL7 and DICOM standards.
• Reduced patient readmission rates by 30%.
• Cut down treatment time in primary care hospitals to under 15 minutes.
• Enhanced chronic disease management and post-operative recovery efficiency.