[Application of Data Analysis and Data Visualization in Medical Equipment: Take Infusion Pump as Example]
Li Bao1,2, Yunming Shen1,2, Kun Zheng1,2
1The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310057.
Summary
This study presents a data analysis and visualization solution for medical equipment, enhancing maintenance efficiency and reducing costs. The system offers clear insights into equipment failures, improving safety and enabling whole-life cycle data research.
Area of Science:
- Biomedical Engineering
- Data Science
- Medical Informatics
Context:
- Medical devices generate vast amounts of data throughout their lifecycle.
- Effective data analysis and visualization are crucial for optimizing medical equipment management.
- Current methods may not fully leverage the potential of this data for operational improvements.
Purpose:
- To develop and implement a comprehensive data analysis and visualization solution for medical equipment.
- To deeply excavate data across the entire lifecycle of medical equipment.
- To provide actionable insights for guiding business decisions in medical device management.
Summary:
- Utilized mature internet tools (YIYI and YOUSHU) for rapid data collection and visualization.
- Implemented a data analysis framework to deeply mine equipment data.
- Developed a maintenance system for infusion pumps as a case study, demonstrating data collection and visualization capabilities.
Impact:
- The developed system offers a simple, clear interface with excellent visualization effects for medical equipment maintenance.
- It enables rapid analysis of maintenance failures, leading to reduced maintenance times and costs.
- The solution enhances equipment safety and is transferable to other medical devices for whole-life cycle data research.
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