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.

项目摘要 行为危机中的个人经常与执法人员和其他第一反应人员接触。在 该研究引用芝加哥的数据称，经历精神危机的人的急诊室就诊次数增加了19 在2009年至2012年期间，伊利诺伊州任何一个晚上大约14，000名无家可归者中有32% 患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作出反应的人 危机不幸的是，这些遭遇有更高的机会升级为暴力或其他有害的 比其他紧急情况下。为了回应几个高调的，负面的遭遇， 芝加哥警察和精神病患者，包括一名年轻男子经历了悲惨的警察枪击事件 一个行为健康（BH）危机，芝加哥已致力于改善BH应急反应。城市是 实施了几项积极主动的干预措施，旨在缓解波黑危机，包括增加 培训的警察和部署共同机动反应小组。然而，一个持续的挑战是， 各机构正在确定哪些紧急呼叫具有BH组件，因此应优先考虑 量身定制的干预措施，如CIT和共同移动团队。此外，如果没有准确的基准信息， 不能完全理解实施这些举措的影响。本项目旨在获取和 将参与应急第一响应的三个城市机构的回顾性行政数据集链接起来： 芝加哥警察局、芝加哥消防局和应急管理办公室， 通信建立一个全面的数据集将使研究人员能够研究BH的反应趋势， 包括分析高利用率和地理热点，目的是为各机构提供信息， 积极主动地瞄准稀缺资源并监测进展情况。我们还将进行利益相关者访谈， 改善这些地点的应急反应。最后，研究小组与咨询委员会合作， 理事会-将开发和评估实时预测工具的操作可行性， BH紧急调度员。通过整合多个大型管理数据集，该预测工具将 利用不同的“信号”来源，最大限度地提高预测精度。这些综合数据的发展 系统和支持工具，以及研究团队和机构利益相关者之间的持续伙伴关系 承诺对芝加哥的应急反应做出持久和普遍的改进。给定 鉴于芝加哥作为美国第三大城市的地位， 潜在的广泛影响其他城市面临类似的公共安全挑战，并拥有类似的 分散的行政数据结构。因此，我们也寻求广泛传播项目结果， 在整个政策和科学界，包括在主要科学期刊上发表文章， 政策制定者和媒体外联。