DIAL: A Platform for real-time Laboratory Surveillance

Area of Science:

• Public Health Informatics
• Laboratory Data Management
• Health Surveillance Systems

Background:

• Laboratory Information Systems (LIS) present challenges in data access, extraction, integration, and analysis for public health.
• Complex laboratory algorithms and multiple results per specimen complicate data interpretation and require specialized expertise.
• Existing systems hinder timely data utilization for public health surveillance.

Purpose of the Study:

• To describe the development and functionality of the Data Integration for Alberta Laboratories (DIAL) platform.
• To present DIAL as a solution for overcoming LIS limitations in public health data management.
• To highlight DIAL's role in advancing laboratory-based surveillance capacity.

Main Methods:

• Developed DIAL, a secure, web-based platform for laboratory data.
• Adapted technology from the Canadian Early Warning System (CEWS).
• Focused on enabling near real-time data extraction, interpretation, collation, and analysis.

Main Results:

• DIAL facilitates near real-time data extraction, interpretation, collation, and analysis.
• The platform addresses difficulties in accessing and integrating data from LIS.
• DIAL enhances the capacity for laboratory-based public health surveillance.

Conclusions:

• DIAL represents a significant advancement in public health information management.
• The platform improves data accessibility and analytical capabilities for public health laboratories.
• DIAL strengthens public health surveillance through enhanced laboratory data integration and analysis.