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Principles of Disease Surveillance01:26

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Area of Science:

  • Public Health Informatics
  • Epidemiological Surveillance
  • Health Information Systems

Background:

  • Electronic influenza surveillance systems are crucial for public health and emergency department (ED) decision-making.
  • Current data sharing methods are often manual and delayed, hindering timely responses.
  • Real-time surveillance offers earlier detection and ongoing situational awareness of circulating influenza.

Purpose of the Study:

  • To develop and implement a prototype cloud-based, real-time reporting system for electronic influenza surveillance.
  • To stream continuous influenza test data to a web-based dashboard for immediate access by stakeholders.

Main Methods:

  • A cloud-based system was developed and deployed in two academic EDs.
  • Continuous data, including influenza test results and demographics, were streamed to a web-based dashboard.
  • The system provided immediate reporting to clinicians and public health partners.

Main Results:

  • The system successfully integrated data from molecular tests (GeneXpert) and hospital EHRs.
  • Infrastructure requirements, data security, user authentication, and access permissions were addressed.
  • Visualizations were refined for end-user comprehension.

Conclusions:

  • The prototype system effectively integrated multiple data systems across four EDs, providing near real-time influenza test results.
  • This facilitated timely information sharing with hospital staff and public health entities during the 2014-2015 season.
  • Future work should focus on integrating the dashboard within EHRs and clinical decision tools.