Creating Surveillance Data Infrastructure Using Laboratory Analytics: Leveraging Visiun and Epic Systems to Support...

Area of Science:

• Public Health Surveillance
• Health Informatics
• Epidemiology

Background:

• Pandemics pose unpredictable threats requiring systematic health data collection and analysis for effective management.
• Continuous data analysis is crucial for preparedness and response to health outbreaks.
• Developing a robust surveillance platform is essential for managing the impact of pandemics.

Purpose of the Study:

• To describe the development of a health data surveillance platform for outbreak management.
• To demonstrate compliance with reporting requirements during a health crisis.
• To establish a framework for systematic health data analysis during pandemics.

Main Methods:

• Utilized Visiun, a laboratory analytics dashboard, and Epic's SlicerDicer for data reporting.
• Adhered to World Health Organization (WHO), federal, state guidelines, and expert consultation.
• Integrated scattered data sources into a unified surveillance framework.

Main Results:

• The platform integrated data from diverse sources, enabling seamless report distribution to stakeholders.
• Key report categories included federal, state, laboratory, clinical, and research data.
• Laboratory and clinical reports were vital for operational efficiency, demand management, and medical surge planning.

Conclusions:

• A conceptual surveillance framework was established for robust pandemic response.
• Leveraging a lab analytics dashboard (Visiun) with reporting tools (Epic) created an effective surveillance system.
• The developed framework serves as a adaptable template for future outbreak events.