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An Automated Synchronization Strategy for MAUDE Literature Dashboard
Yuheng Shi1, Eric Yang1, Zhengcan Xie1
1University of Texas Health Science Center at Houston, Houston, Texas, USA.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
This study introduces an automated system to update the Manufacturer and User Facility Device Experience (MAUDE) dashboard, improving patient safety event (PSE) research reliability. The cloud-based solution ensures timely and accurate data for researchers.
Area of Science:
- Medical Informatics
- Public Health Surveillance
- Health Data Management
Background:
- The Manufacturer and User Facility Device Experience (MAUDE) database is crucial for tracking device-related patient safety events (PSEs).
- Current manual updates to dashboards accessing MAUDE data are inefficient, prone to errors, and impact reliability.
- FAIR principles guide the development of data accessibility tools for research.
Purpose of the Study:
- To develop and implement a cost-effective, automated synchronization strategy for updating the MAUDE dashboard.
- To enhance the reliability, sustainability, and data visibility of the MAUDE dashboard for researchers.
Main Methods:
- Utilized Google Cloud Platform (GCP) services for a cloud-based automated synchronization pipeline.
- Implemented scheduled updates to ensure continuous and accurate data retrieval from MAUDE literature via PubMed.
Main Results:
- Successfully developed a low-cost, automated synchronization strategy for the MAUDE dashboard.
- The automated system enhances the existing data pipeline, improving dashboard reliability and sustainability.
- Increased visibility of MAUDE studies through more accurate and timely data updates.
Conclusions:
- Automated synchronization significantly improves the MAUDE dashboard's performance and data integrity.
- The proposed cloud-based strategy offers a sustainable and reliable solution for managing critical patient safety data.
- Enhanced data accessibility supports more robust research into device-related patient safety events.
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