Predictive Analytics Applied to Integrated Administrative Emergency Response Datasets in Chicago - Resubmission 01

预测分析应用于芝加哥综合行政应急响应数据集 - 重新提交 01

• 批准号: 10200643
• 负责人: HAROLD Alexander POLLACK
• 金额: $ 39.74万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10200643
• 关键词: Accountability; Advisory Committees; Americas; Behavioral; Cessation of life; Chicago; Cities; Collaborations; Communication; Communities; Crime; Data; Data Set; Development; Emergency Situation; Emergency department visit; Emergency medical service; Emergency response; Event; Face; Fire - disasters; Foundations; Frequencies; Future; Geography; Goals; Group Homes; Health; Health Resources; Homelessness; Hot Spot; Illinois; Individual; Information Systems; Intervention; Interview; Journals; Law Enforcement; Link; Location; Maps; Mental Health; Mental disorders; Mentally Ill Persons; Modeling; Monitor; Outcome; Pattern; Persons; Police; Police officer; Policies; Positioning Attribute; Predictive Analytics; Publications; Reporting; Research; Research Personnel; Resources; Safety; Shelter facility; Signal Transduction; Site; Source; Statistical Data Interpretation; Structure; Time; Training; Transportation; Universities; Violence; Vulnerable Populations; behavioral health; behavioral study; data infrastructure; experience; first responder; health training; high risk; improved; outreach; predictive tools; response; severe mental illness; support tools; tool; trend; young man

Project Summary Individuals in behavioral crisis frequently come into contact with law enforcement and other first responders. In Chicago, the study cite, emergency room visits for people experiencing psychiatric crisis increased by 19 percent between 2009 and 2012, and 32 percent of the roughly 14,000 homeless people on any given night in Illinois have a serious mental illness. Increasingly, police are often the first to respond to mental and behavioral health crises. Unfortunately, these encounters have a higher chance of escalating into a violent or otherwise harmful outcome than other emergency situation. In response to several high-profile, negative encounters between Chicago police and persons with mental illness, including the tragic police shooting of a young man experiencing a behavioral health (BH) crises, Chicago has committed to improving BH emergency response. The city is implementing several proactive interventions aimed a deescalating BH crises, including increasing the number of CIT-trained police officers and deploying co-mobile response teams. However, an ongoing challenge for agencies is determining which emergency calls have a BH component and therefore should be prioritized for tailored interventions like CIT and co-mobile teams. Additionally, without accurate baseline information, leaders cannot fully understand the impact of implementing such initiatives. The present project seeks to acquire and link retrospective administrative datasets from the three city agencies involved in emergency first response: Chicago Police Department, Chicago Fire Department and the Office of Emergency Management and Communication. Establishing an encompassing dataset will allow researchers to study BH response trends, including analyzing high utilizers and geographic hot spots, with the goal to equip agencies with information to proactively target scarce resources and monitor progress. We will also conduct stakeholder interviews regarding improved emergency responses at these locations. Finally, the research team – in collaboration with the Advisory Council - will develop and assess the operational feasibility of a real-time predictive tool that would help identify BH emergencies for dispatchers. By incorporating multiple large administrative datasets, this predictive tool will capitalize on diverse sources of “signal,” maximizing prediction accuracy. Development of these integrated data systems and support tools, and ongoing partnership among the research team and agency stakeholders promises to produce durable and generalizable improvements to Chicago's emergency response. Given Chicago's position as America's third-largest city, such uses of our already-existing data infrastructure has the potential to broadly influence other cities that face similar public safety challenges and possess similar fragmented administrative data structures. As such, we also seek to widely disseminate project findings throughout the policy and scientific communities, including publication in leading scientific journals and policymaker and media outreach.

项目概要 处于行为危机中的个人经常与执法部门和其他急救人员接触。在 研究援引芝加哥的说法，经历精神危机的人到急诊室就诊的人数增加了 19% 2009 年至 2012 年间，伊利诺伊州每晚约 14,000 名无家可归者中的 32% 有严重的精神疾病。越来越多的警察往往是第一个对心理和行为健康问题做出反应的人 危机。不幸的是，这些遭遇更有可能升级为暴力或其他有害的事件 结果优于其他紧急情况。针对几起备受瞩目的负面冲突 芝加哥警察和患有精神疾病的人，包括警察枪击一名患有精神疾病的年轻人的悲惨事件 针对行为健康（BH）危机，芝加哥已致力于改善 BH 应急响应。这座城市是 实施多项积极干预措施，旨在缓解 BH 危机，包括增加 接受 CIT 培训的警察并部署联合机动响应小组。然而，持续的挑战 各机构正在确定哪些紧急呼叫具有 BH 组成部分，因此应优先考虑 量身定制的干预措施，例如 CIT 和联合移动团队。此外，如果没有准确的基线信息，领导者 无法完全理解实施此类举措的影响。本项目旨在收购和 链接来自参与紧急第一反应的三个城市机构的回顾性行政数据集： 芝加哥警察局、芝加哥消防局和应急管理办公室 沟通。建立一个全面的数据集将使研究人员能够研究 BH 反应趋势， 包括分析高利用率和地理热点，目标是为各机构提供信息 主动瞄准稀缺资源并监控进展情况。我们还将就相关问题进行利益相关者访谈 改善这些地点的应急响应。最后，研究团队与咨询机构合作 理事会 - 将开发和评估实时预测工具的操作可行性，该工具将有助于识别 BH 调度员紧急情况。通过合并多个大型管理数据集，该预测工具将 利用不同来源的“信号”，最大限度地提高预测准确性。这些综合数据的开发 系统和支持工具，以及研究团队和机构利益相关者之间持续的伙伴关系 承诺对芝加哥的应急响应产生持久和普遍的改进。给定 芝加哥作为美国第三大城市的地位，对我们现有数据基础设施的这种使用具有 有可能广泛影响面临类似公共安全挑战并拥有类似公共安全挑战的其他城市 分散的管理数据结构。因此，我们还寻求广泛传播项目调查结果 整个政策界和科学界，包括在领先的科学期刊上发表文章和 政策制定者和媒体宣传。