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: 9981836
• 负责人: HAROLD Alexander POLLACK
• 金额: $ 40.79万
• 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 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9981836
• 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; 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; structured data; 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部门和其他急救人员接触。在 芝加哥，这项研究引用，经历精神病危机的人们的急诊室就诊增长了19％ 在2009年至2012年之间，在伊利诺伊州任何给定的夜晚，大约14,000名无家可归者中有32％ 患有严重的精神疾病。越来越多的警察通常是第一个对心理和行为健康做出反应的人 危机。不幸的是，这些遭遇的机会更高，升级为暴力或有害 结果比其他紧急情况。响应几种备受瞩目的负面遇到 芝加哥警察和患有精神疾病的人，包括悲惨的警察枪击一名年轻人 芝加哥的行为健康（BH）危机致力于改善BH紧急响应。这座城市是 实施几种主动干预措施旨在深深估计BH危机，包括增加数量 由CIT训练的警察和部署联合摩托车响应小组。但是，持续的挑战 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，例如CIT和联合射击团队。此外，没有准确的基线信息，领导者 无法完全理解实施此类计划的影响。本项目旨在获取和 链接来自涉及紧急首次回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。建立包含数据集的数据集将使研究人员能够研究BH响应趋势， 包括分析高利用率和地理热点，其目标是为机构提供信息 主动针对稀缺资源并监控进度。我们还将进行有关利益相关者的访谈 这些位置改善了紧急响应。最后，研究团队 - 与咨询合作 理事会 - 将开发和评估实时预测工具的运营可行性，以帮助确定 BH紧急情况的调度员。通过合并多个大型管理数据集，此预测工具将 利用“信号”的潜水员来源，最大化预测准确性。这些集成数据的开发 系统和支持工具，以及研究团队和机构利益相关者之间的持续合作伙伴关系 有望为芝加哥的紧急响应带来持久且可普遍的改进。给出 芝加哥作为美国第三大城市的地位，我们已经存在的数据基础设施的这种用途具有 潜力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 零散的管理数据结构。因此，我们还试图广泛传播项目发现 在整个政策和科学社区中，包括在领先的科学期刊上发表 决策者和媒体宣传。