Advancing Conformance with the Voluntary National Retail Food Regulatory Program Standards

促进遵守自愿性国家零售食品监管计划标准

• 批准号: 9493853
• 负责人: Troy Huffman
• 金额: $ 7万
• 依托单位: COLORADO STATE DEPT/PUB HLTH & ENVIRONMT
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9493853
• 关键词: Advancing; Conformance; Voluntary; National; Retail

Project Summary/Abstract For Colorado’s Retail Food Program Proposal to Expand Standardized Statewide Data System Capture of Inventory and Inspection Results in Support of the Voluntary National Retail Food Regulatory Program Standards The intent of this cooperative agreement award is to increase the number of local public health agencies in Colorado using a statewide Retail Food Program data system. In an effort to expand uniformity among the local regulatory programs responsible for food protection in Colorado, the goal of this cooperative agreement is to assist the 18 local agencies that currently use disparate data systems in a migration to the statewide data platform. This project will improve conformance with multiple Retail Food Regulatory Program Standards, including Standards 1, 3, 4, 6 and 8. The pace and order of local agencies migrating into the Colorado Retail Food data system will be determined by the pace at which those agencies can prepare data into formats suitable for migration, the effective date of pending regulation revisions, the stability of current local data systems, and availability of funds. This project anticipates at least two and as many as five counties migrating into the Colorado data system each year during the three-year project period.

项目总结/摘要 为 科罗拉多的零售食品计划建议扩大标准化全州数据 库存和检查结果的系统捕获，以支持自愿国家 零售食品监管计划标准 这项合作协议的目的是增加当地公共卫生的数量， 在科罗拉多使用全州零售食品计划数据系统的机构。为了努力 扩大负责食品保护的地方监管计划的统一性， 科罗拉多，这项合作协议的目标是协助18个当地机构， 在向全州数据平台的迁移中使用不同的数据系统。该项目将 提高对多项零售食品监管计划标准的符合性，包括 标准1、3、4、6和8。 本地机构迁移到科罗拉多零售食品数据系统的速度和顺序将 由这些机构将数据准备成适合于以下方面的格式的速度决定： 迁移、待修订法规的生效日期、当前本地数据的稳定性 系统和资金的可用性。这个项目预计至少有两个和多达五个 在三年的项目期间，每年都有县迁移到科罗拉多数据系统。