United States Department of Agriculture Food Safety and Inspection Service National Advisory Committee on Meat and Poultry Inspection (NACMPI) Public Meeting September 29 th and 30 th, 2010 USDA Headquarters Washington, DC

United States Department of Agriculture Food Safety and Inspection Service FSIS Strategic Data Analysis Plan for Domestic Inspection and the Public Health Decision Criteria Report Christopher Alvares Office of Data Integration and Food Protection Food Safety and Inspection Service U.S. Department of Agriculture

United States Department of Agriculture Food Safety and Inspection Service Background Data related FSIS Strategic Goals Goal 1 - Enhance inspection and enforcement systems and operations to protect public health. Goal 3 - Enhance the development of science and risk-based policies and systems. Goal 4 - Enhance the development and maintenance of an integrated and robust data collection and analysis system to verify the effectiveness and efficiency of Agency programs. Goal 5 - Enhance the development and maintenance of an innovative infrastructure to support the Agency's mission and programs.

United States Department of Agriculture Food Safety and Inspection Service Background External feedback and input National Advisory Committee on Meat and Poultry Inspection (NACMPI) National Academies of Science (NAS) Office of the Inspector General (OIG) Stakeholder input –Consumers –Industry

United States Department of Agriculture Food Safety and Inspection Service Background Internal feedback and input –Stove-piped systems The inspection process needs better integration –Product Volume Data Standardization needed –Establishment Profile Data Additional profile information needed –Inspection Data More granularity is needed

United States Department of Agriculture Food Safety and Inspection Service Results FSIS is publicly responding to the need to be more data-driven and transparent –Public Health Decision Criteria Report –Strategic Data Analysis Plan for Domestic Inspection

United States Department of Agriculture Food Safety and Inspection Service Public Health Decision Criteria Report Outline of the report –Detailed explanation of the decision criteria What are they? What is the scientific basis for their use? How are they used to schedule FSAs and HAVs? How many establishments meet each criterion? Are there differences related to establishment type?

United States Department of Agriculture Food Safety and Inspection Service Public Health Decision Criteria Report This report describes decision criteria to identify establishments that: –have produced product that tested positive for pathogens known to cause human illness, –are not in compliance with specific Federal laws and regulations, or –are performing worse than their peers with respect to FSIS inspection findings. Criteria will apply to a new procedure, Hazard Analysis Verification (HAV), as well as prioritizing routine FSAs

United States Department of Agriculture Food Safety and Inspection Service Strategic Data Analysis Plan The Strategic Data Analysis Plan addresses how FSIS intends to improve both data collection (including PHIS) and data analysis. –What data gaps have been identified that impact the Agency’s effectiveness? –How does PHIS meet these Agency needs? –How does FSIS plan to identify further data needs? –What external data is FSIS integrating into PHIS?

United States Department of Agriculture Food Safety and Inspection Service Strategic Data Analysis Plan The plan also discusses the use of automated reports and alerts to notify field and headquarter personnel when certain key events occur. Examples include: –A large number of inspection activities not completed in an establishment. –High rates of noncompliance in an establishment. –A positive pathogen test result in an establishment.

United States Department of Agriculture Food Safety and Inspection Service Summary FSIS –has presented a detailed plan for the continued improvement and use of data within the Agency –will revise and further develop these plans to incorporate additional content and to address future data needs –is requesting feedback and input on how these reports can be strengthened