Medical Device Integration Model Based on the Internet of Things

Area of Science:

• Biomedical Engineering
• Health Informatics
• Internet of Things (IoT)

Background:

• Hospital Information Systems (HIS) manage patient data, but medical device data integration remains a significant challenge.
• Manual data input from medical devices is prone to errors and report mismatches.
• Lack of standardized protocols and device heterogeneity create data silos, hindering effective healthcare management.

Purpose of the Study:

• To present a Medical Device Integration (MDI) model utilizing the Internet of Things (IoT).
• To address the challenges of data heterogeneity and lack of unified standards in medical device data.
• To facilitate seamless data integration and improve the efficiency of hospital information systems.

Main Methods:

• Developed an MDI model based on Internet of Things (IoT) technology.
• Employed abstract classification to identify common device characteristics.
• Utilized a unified protocol for data integration and resolved inter-device heterogeneity.

Main Results:

• Successfully extracted common device characteristics and resolved heterogeneous differences.
• Enabled data integration between diverse medical devices through a unified protocol.
• Achieved timely associate matching between data and patients at the device terminal via IoT.

Conclusions:

• The proposed MDI model effectively integrates data from heterogeneous medical devices.
• IoT technology facilitates interconnection and interworking of medical devices within hospital information systems.
• This integration supports the future development of mobile applications, intelligent analysis, and improved resource distribution in healthcare.