Plan for Extracting Intraoperative Anesthesia Data to the ACS NSQIP Database

描述(由申请人提供)： 在这个项目中，来自美国外科学院(ACS)和麻醉患者安全基金会(APSF)的成员正在合作扩展ACS国家手术质量改进计划(NSQIP)数据库，以包括与麻醉相关的术中数据。美国癌症学会NSQIP计划已经在收集有关术前患者风险因素、手术因素和手术后不良事件的信息。然而，麻醉管理对术后结果的影响尚不清楚，因为美国癌症学会NSQIP数据库不包含手术中麻醉管理或生理变量的信息。该项目将评估构建术中麻醉和生理数据并将这些数据映射到ACSNSQIP数据库的技术可行性。 扩展ACS NSQIP系统基础设施以包括从AIMS系统中直接捕获术中变量的目标符合IAIMS下一代议程的核心；即创建工具和资源以建立国家研究存储库，以支持研究成果的发现、创新和传播，从而改善健康结果。麻醉信息从ACSNSQIP数据库中缺失的主要原因是在术语和记录结构方面都缺乏标准，阻碍了术中麻醉数据从AIMS到结果数据库的传输。创建标准术语和记录结构是支持将术中数据从AIMS转移到结果数据库的基本要求。 拟议的项目分为3个阶段：1)使用 受控词汇将在9点检查与麻醉相关的数据后开发 性能站点；2)实施基于结构化模型的原型，以测试从AIMS导入数据的可行性，以增强ACS NSQIP数据库；3)准备AIMS 后续阶段引入扩展的ACS NSQIP平台的实施计划。该提案将解决创建模型的概念挑战、基于模型构建原型的技术挑战以及在ACS NSQIP成员之间建立共识的组织挑战。

DESCRIPTION (provided by applicant): In this project, members from the American College of Surgery (ACS) and the Anesthesia Patient Safety Foundation (APSF) are collaborating to expand the ACS National Surgery Quality Improvement Program (NSQIP) data repository to include anesthesia-related intra-operative data. The ACS NSQIP program is already capturing information on preoperative patient risk factors, surgical factors, and adverse events following surgery. However, the effects of anesthetic management on postoperative outcomes remain unclear because the ACS NSQIP database contains no information on anesthetic management or physiologic variables during surgery. This project will assess the technical feasibility of structuring intraoperative anesthesia and physiologic data and mapping these data into the ACS NSQIP database. The goal to extend the ACS NSQIP system infrastructure to incorporate direct data capture of intraoperative variables from AIMS systems speaks to the heart of the IAIMS Next Generation Agenda; namely creating tools and resources to build national research repositories to support discovery, innovation and dissemination of research results that leads to improvement in health outcomes. The main reason that anesthesia information is missing from the ACS NSQIP database is that the lack of standards in both terminology and record structure prevents the transfer of intra-operative anesthesia data from AIMS into outcomes databases. The creation of a standard terminology and record structure is an essential requirement to support the movement of intra-operative data from AIMS into outcomes databases. The proposed project has 3 phases: 1) To design a structured model of the anesthesia record using a controlled vocabulary which will be developed after examining the anesthesia-related data at nine performance sites; 2) To implement a prototype based on structured model that will test the feasibility of importing data from AIMS to enhance the ACS NSQIP data repository; 3) To prepare an AIMS implementation plan for the introduction of the expanded ACS NSQIP platform in the follow-up phase. This proposal will address the conceptual challenge of creating a model, the technical challenge of constructing a prototype based on the model, and the organizational challenge of building consensus among the members of the ACS NSQIP.