Data-Driven Approach to Design an Efficient Mass Vaccination and Public Health Monitoring Informatics Platform

Area of Science:

• Public Health Informatics
• Health Information Technology
• Vaccination Systems

Background:

• Effective vaccine data collection is critical for monitoring adverse effects and vaccine efficacy, especially during mass vaccination events.
• Current systems for vaccine data collection lack uniformity and integration, posing challenges for public health management.
• Modernizing public health infrastructure through informatics is essential for efficient vaccination campaigns.

Purpose of the Study:

• To describe and analyze electronic technologies for registration and screening in vaccination clinics.
• To evaluate the performance and usability of these technologies during actual vaccination campaigns.
• To design a prototypical integrated system for mass vaccination data management.

Main Methods:

• Conducted time-motion studies and collected service data during influenza vaccination campaigns.
• Analyzed functionalities, usability, and operations performance of five electronic technologies.
• Designed and evaluated a prototypical registration and screening system with integrated information flow.

Main Results:

• Each analyzed electronic technology improved overall clinic throughput by 16% to 45%.
• The study identified key performance metrics for electronic registration and screening systems.
• A flexible and adaptable prototypical system design was developed, integrating with existing health information systems.

Conclusions:

• Electronic technologies offer significant improvements in mass vaccination clinic efficiency and data management.
• The developed prototypical system enhances public health informatics, supporting better vaccine monitoring and response.
• This research provides a practical approach to bridging research and public health informatics for improved vaccination strategies.