Page 77 - Taiwan Food and Drug Administration 2016 Annual Report
P. 77

2016     ANNUAL
                                                                                                   REPORT






               2. Using Historical Data to Establish Future Prediction Models
               (1) Ensure Data Comprehensiveness
                  In 2015, historical data gathered by the Five-Must information system of TFDA, namely the
                  automated management system for border inspections (Must-Declare), Product Distribution
                  Management System (Must-Test), Food Business Registration System (fadenbook, Must-
                  Register), inspection system (Must-Inspect), and traceability system (ftracebook, Must-
                  Trace), were integrated to undergo error proo?ng and data veri?cation. Once data quality and
                  accuracy had been validated, analysis of historical data from different systems was carried out
                  to achieve an overall understanding of food safety issues in Taiwan.                            Part II - Key Administrative Results  Risk Assessment and Management

               (2) Establishing Risk Prediction Indicators
                  Statistical analysis tools (such as R, SPSS, Modeler, and Tableau) were used to carry out data
                  analysis and data mining of historical data and information gathered by border inspections and
                  post-marketing sampling and tests of various products. Results were then used to establish
                  preliminary risk prediction indicators for food safety management. In 2015, a total of ?ve major
                  risk prediction indicators were established with analysis techniques to help screen and select
                  high-risk targets, namely: (1) number of inspected batches of imports; (2) net import weight; (3)
                  border sampling rate; (4) multi-year failure rate of testing; and (5) historical trends of test failure
                  rate. Regular discussion meetings were held with the relevant businesses to provide empirical
                  basis in stipulating source management policies.
               (3) Establish an Early Warning Analysis Module for Risks
                  TFDA started using the established risk prediction indicators to build long-term systematic
                  risk warning and analysis modules to automatically select high-risk targets and achieve
                  the objectives of real-time monitoring. TFDA will also update information on a regular basis
                  and continue to evaluate and analyze the suitability of the module. Actual management
                  requirements will also be referenced to revise parameters of the analysis module to effectively
                  achieve the desired monitoring and early warning functions.


               Section 3.  Crisis Management System
               Current Status
                   Courses were held in 2015 in order to help TFDA staff members improve their familiarity with
               risk management and crisis handling concepts in order to respond to and handle emergencies.
               Public opinions and information were reviewed on a daily basis. Regular post-market surveillance
               was also conducted to maintain the safety of goods sold on the market for the general public.
               Corresponding response systems to quickly handle and contain the issue are also in place in case
               of actual emergencies. Once the incident is over, TFDA will formulate improvements to improve
               crisis handling capabilities.
               Policies and Outcomes

               1. Organizing, Implementing, and Managing Risk Management Systems
               (1) Risk Management and Crisis Handling Training
                  TFDA continued to provide training in risk management and crisis handling for fellow staff
                  members to strengthen their familiarity for the overall concepts of risk identi?cation and crisis
                  prevention. In 2015, a total of three training sessions for 190 attendants were held.


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