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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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[Development of Intelligent Infusion Management System].

Da Li1, Yuan Gao1, Zhenfei Duan1

  • 1PLA General Hospital, Beijing, 100853.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|June 12, 2019
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This study introduces an intelligent infusion management system using IoT sensors to monitor infusion speed and remaining volume in real-time. The system enhances nursing management and patient satisfaction while reducing workload.

Keywords:
data flow monitoringinfusion managementinternet of things

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Area of Science:

  • Biomedical Engineering
  • Health Informatics

Background:

  • Traditional infusion management poses challenges in real-time monitoring and data collection.
  • Need for improved efficiency and accuracy in clinical settings.

Purpose of the Study:

  • To develop and evaluate an intelligent infusion management system using IoT technology.
  • To enhance real-time monitoring, data accuracy, and nursing management quality.

Main Methods:

  • Established an Internet of Things (IoT)-based intelligent infusion management system.
  • Utilized gravity and acceleration sensors for data acquisition.
  • Developed a B/S architecture platform with intelligent terminals for real-time data, including infusion speed and remaining volume.
  • Integrated the system with Hospital Information Systems (HIS), Electronic Medical Records (EMR), and Personal Digital Assistants (PDA).

Main Results:

  • Successfully addressed data collection challenges for the entire infusion process.
  • Achieved real-time visualization of infusion status.
  • Significantly improved the quality of nursing management.
  • Demonstrated over two years of successful implementation in hospital wards.

Conclusions:

  • The intelligent infusion management system reduces infusion workload and enhances patient satisfaction.
  • Provides valuable infusion big data for research and auxiliary treatment.
  • Represents a significant advancement in smart healthcare and patient care.