BioSense 2.0  BioSense is a nationwide collaborative system for protecting and improving population health by providing timely information for better decision-making.  Components of BioSense  Software  Platform  Governance  Community

BioSense Organization Roles  CDC – BioSense 2.0 Program  RTI – Direct subcontractor of the BioSense 2.0 development  Epidemico – RTI contractor focusing on the front-end interface  Northrup Grumman  Governance Group – Advice and recommendations to CDC on development of BioSense 2.0  ASTHO – Facilitator of Data Use Agreements and the Governance Group, and purchasing the Amazon Web Services Gov Cloud  CSTE – Facilitated the recruitment of states and territories  ISDS – Subject matter expertise  NACCHO – Facilitated the recruitment of counties and cities

Governance Group Membership: 15 Representatives  8 Elected representatives  3 to represent state and territorial public health agencies  3 to represent local public health agencies  2 to represent non-public health data providers (hospitals, electronic health records vendors, etc),  4 Association Representatives  The Association of State and Territorial Health Officials (ASTHO)  The Council of State and Territorial Epidemiologists (CSTE)  The International Society for Disease Surveillance (ISDS)  The National Association of County and City Health Officials (NACCHO)  3 Federal Representatives  The Centers for Disease Control and Prevention (CDC)  The US Department of Defense (DoD)  and The US Department of Veteran’s Affairs (VA)

(Kathy)

Local experiences and lessons learned To those of you with BioSense 2.0 experience:  What advice or guidance would you give to others who are starting to set up or use BioSense?

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Potential Directions/Opportunities for BioSense 2.0  Get BioSense out of “beta” (2)  Replicate the functionality of Distribute  Assure and document security measures and processes (1)  Increase data sharing (4)  Increase trust (0)  Improve data quality & add data quality measures (6)  Documentation  Improve on-boarding  Add more historical data  New data types(2)  Expand beyond syndromic surveillance  Improve analytics  Improve visualizations  Support Meaningful Use

Questions?