Leveraging Data to Action: Accelerating Emergency Department OUD Care by Improving Data Access and Infrastructure

利用数据采取行动：通过改善数据访问和基础设施加速急诊科 OUD 护理

• 批准号: 10745526
• 负责人: Kathryn Hawk
• 金额: $ 48.96万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10745526
• 关键词: Acceleration; Accident and Emergency department; Acute myocardial infarction; Address; Algorithms; American; Automation; Benchmarking; Buprenorphine; Caring; Centers for Disease Control and Prevention (U.S.); Cessation of life; Clinical; Clinical Trials; Clinical Trials Network; Collaborations; Data; Data Collection; Data Element; Data Set; Development; Dimensions; Drug usage; Ecosystem; Education; Electronic Health Record; Emergency Care; Emergency Department Physician; Emergency Department patient; Epidemic; Evaluation; FAIR principles; Future; General Population; Healthcare Systems; High Prevalence; Individual; Information Systems; Infrastructure; Intervention; Maps; Measures; Medical; Methadone; Naloxone; National Institute of Drug Abuse; Observational Study; Online Systems; Outcome; Overdose; Patient-Focused Outcomes; Patients; Pharmaceutical Preparations; Phase; Population Surveillance; Prevention; Prevention education; Process; Public Health; Quality of life; Readiness; Registries; Research; Safety; Sepsis; Site; Standardization; Stroke; Substance Use Disorder; Surgeon; System; Time; Translating; Translational Research; United States; Vertebral column; Work; acute care; clinical care; college; cost effectiveness; dashboard; data access; data infrastructure; data modeling; data registry; design; digital; implementation research; improved; improved outcome; mortality; opioid mortality; opioid overdose; opioid use disorder; overdose death; overdose prevention; prototype; response; therapy development

Abstract Data-driven evaluation and interventions have improved emergency care across an array of acute care conditions including acute myocardial infarction, stroke and sepsis -- yet, similar systems to support and advance emergency care for OUD are lacking amidst worsening patient outcomes. Our team completed foundational data infrastructure work revealing gaps in ED data systems as well as identifying opportunities to utilize the American College of Emergency Physician's Clinical Emergency Department Registry (CEDR) as a national data backbone of over 1000 Emergency Departments (EDs) for OUD care. We propose to create new data processes that will generate a collection of data products embedded within the CEDR ecosystem to improve the timeliness, quality, accessibility, and usefulness of CEDR data to address the overdose epidemic. To address these critical needs, we propose an acceleration project that will leverage our prior work developing and refining electronic health record OUD data elements both within and outside of the CEDR registry. This proposal will: 1) automate OUD-related data extraction from participating sites, 2) map ED data to a standardized, scalable Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) 3) Translate relational data within the CDM into research ready datasets with algorithmic extension of important OUD concepts, and 4) create site and public facing ED OUD overdose prevention dashboards for care improvement and surveillance. We hypothesize that the automation and integration of electronic health record and administrative substance use disorder data into CEDR will improve the ability to identify opportunities for improvement in ED OUD care and advance future research initiatives. During this study we plan to assess digital readiness within CEDR and design an enhanced ED OUD data infrastructure suitable for large scale observational research, support of future real-world clinical trials and benchmarking dashboards (R61 phase) and develop and deploy an ED OUD digital infrastructure across clinical, research and surveillance dimensions (R33 phase). Upon study completion, we anticipate an improved national ED data registry using a standardized common data model, automated site level ED OUD dashboards to guide near-real time local quality improvement initiatives, the existence of an independent ED OUD Registry Research dataset, and a public facing, web based near-real time ED OUD care dashboard.

抽象的 数据驱动的评估和干预措施改善了一系列急性护理的急诊护理 包括急性心肌梗塞，中风和败血症在内的条件 - 但是，类似的支持系统 在患者预后恶化的情况下缺乏预先的OUD紧急护理。我们的团队完成了 基础数据基础架构工作揭示了ED数据系统中的空白，并确定了机会 利用美国急诊医师学院的临床急诊科注册处（CEDR）作为 由1000多个急诊室（EDS）的国家数据骨干为Oud Care。我们建议创建新的 将生成嵌入CEDR生态系统中的数据产品集合的数据过程 提高CEDR数据的及时性，质量，可访问性和实用性，以解决过量的流行病。 为了满足这些关键需求，我们提出了一个加速项目，该项目将利用我们的先前工作 在CEDR内外开发和完善电子健康记录OUD数据元素 注册表。该建议将：1）从参与站点自动化与OUD相关的数据提取，2）将数据映射到 标准化的，可扩展的观察性医学结果伙伴关系（OMOP）共同数据模型（CDM） 3）将CDM中的关系数据转换为具有算法扩展的研究准备数据集 重要的Oud概念，以及4）创建网站和公共面对ED OUD过量预防仪表板 护理改善和监视。我们假设电子健康的自动化和集成 记录和行政药物使用障碍数据中的CEDR将提高识别的能力 改善ED Oud Care并推进未来的研究计划的机会。在这项研究中，我们 计划评估CEDR中的数字准备性并设计增强的ED OUD数据基础架构 适用于大规模观察研究，支持未来的现实世界临床试验和基准测试 仪表板（R61阶段），并在临床上开发和部署ED OUD数字基础设施， 研究和监视维度（R33阶段）。学习完成后，我们预计会有所改善 使用标准化的通用数据模型，自动化站点级别ED OUD仪表板的国家ED数据注册表 为了指导近现场的本地质量改进计划，存在独立的ED Oud注册表 研究数据集，以及一个基于Web的公共面对面的近时间ED Oud Care仪表板。