Online Program

278513
Fusion analytics: A data integration system for public health and medical disaster response decision support


Monday, November 4, 2013 : 2:30 p.m. - 2:50 p.m.

Dina Passman, MPH, Substance Abuse and Mental Health Services Administration, U.S. Department of Health and Human Services, Rockville, MD
Objective: The objective of this demonstration is to show conference attendees how they can integrate, analyze, and visualize diverse data type data from across a variety of systems by leveraging an off-the-shelf enterprise business intelligence (EBI) solution to support decision-making in disasters.

Introduction: Fusion Analytics is the data integration system developed by the Fusion Cell at the U.S. Department of Health and Human Services (HHS), Office of the Assistant Secretary for Preparedness and Response (ASPR). Fusion Analytics meaningfully augments traditional public and population health surveillance reporting by providing web-based data analysis and visualization tools.

Methods: Fusion Analytics began serving as the one-stop-shop for the web-based data visualizations of multiple real-time data sources within ASPR beginning in 2010. The Fusion Analytics data integration system was built using off-the-shelf EBI software. Fusion Analytics leverages the full power of statistical analysis software and delivers reports to users in a secure web-based environment. Fusion Analytics provides an example of how public health staff can develop and deploy a robust public health informatics solution using an off-the shelf product and with limited development funding. It also provides the unique example of a public health information system that combines patient data for traditional disease surveillance with manpower and resource data to provide overall decision support for federal public health and medical disaster response operations.

Conclusions: Fusion Analytics provides an opportunity for attendees to see how various types of data are integrated into a single application for population health decision support. It also can provide them with ideas of how they can use their own staff to create analyses and reports that support their public health activities.

Learning Areas:

Epidemiology
Other professions or practice related to public health

Learning Objectives:
Demonstrate conference attendees how they can integrate, analyze, and visualize diverse data type data from across a variety of systems by leveraging an off-the-shelf enterprise business intelligence (EBI) solution to support decision-making in disasters.

Keyword(s): Health Information Systems, Disasters

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been the epidemiologist with the Fusion Cell since 2009, during which time I have been engaged in the analysis and visualization of disaster preparedness and response data for decision support. Since 2010, I have been the program manager of the Fusion Analytics data integration system program.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.