Demand Reduction Smart Tool for Analysis and Research(STAR)

项目摘要/摘要 2013年，CICAD(美洲药物滥用控制委员会)召集了一个小组， 国际专家将制定减少需求信息框架(DRIF) 设计减少需求的公共战略、政策和方案。这项SBIR的目标是 创新是通过创建智能的在线、交互式、可视化分析来构建DRIF 仪表板(STAR)，将对公共部门的设计至关重要的核心指标与背景联系起来 战略、政策和计划，并为政策和计划经理的决策提供信息。 STAR整合了NIDA在药物滥用预防和治疗研究中的主要发现 用于设计公共卫生战略、政策和计划，以减轻 滥用药物的后果。 虽然DRIF为数据驱动的需求减少政策、计划和实践奠定了基础， 决策者在将复杂且往往支离破碎的数据转化为 有用的信息。首先，很难确定数据的质量；“垃圾输入，垃圾” 出去了。“其次，无论功能多么丰富的视觉呈现软件，信息都不是 在没有业务环境的情况下很有用。第三，对数据分析师和IT人员的依赖 从可用数据中解锁洞察力。STAR将通过以下方式应对所有三个挑战 决策者和管理人员可以直观地分析DRIF定义的关键指标 时间到了。

Project Summary/Abstract In 2013, CICAD (Inter-American Drug Abuse Control Committee) convened a group of international experts to develop a Demand Reduction Information Framework (DRIF) for the design of public strategies, policies, and programs in demand reduction. The goal of this SBIR Innovation is to build upon the DRIF by creating a smart online, interactive, visual analytic dashboard (STAR) to contextualize core indicators that are critical to the design of public strategies, policies, and programs and to inform policy and program managers’ decision-making. STAR integrates NIDA’s key findings from substance abuse prevention and treatment research for the design of public health strategies, policies, and programs to mitigate the damaging consequences of substance abuse. While DRIF lays the foundation for data-driven demand reduction policy, program, and practice, decision makers still face major challenges in turning complex and often fragmented data into useable information. First, it is difficult to determine the quality of data; “garbage in, garbage out.” Second, no matter how feature-rich the visual presentation software, the information is not useful without business context. Third, there is a dependency on data analysts and IT personnel to unlock insights from available data. STAR will address all three challenges by empowering decision makers and managers to visually analyze the key indicators defined by DRIF in real time.