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，以包括麻醉相关的术中数据。ACS NSQIP程序已经捕获了术前患者风险因素、手术因素和术后不良事件的信息。然而，麻醉管理对术后结局的影响仍不清楚，因为ACS NSQIP数据库不包含手术期间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ACS NSQIP数据库的技术可行性。 扩展ACS NSQIP系统基础设施的目标是将AIMS系统术中变量的直接数据捕获纳入IAIMS下一代议程的核心;即创建工具和资源，以建立国家研究库，以支持发现，创新和传播研究结果，从而改善健康结果。ACS NSQIP数据库中缺失麻醉信息的主要原因是术语和记录结构缺乏标准，无法将术中麻醉数据从AIMS转移到结局数据库中。创建标准术语和记录结构是支持术中数据从AIMS转移到结果数据库的基本要求。 该项目分为3个阶段：1）设计一个结构化的麻醉记录模型， 控制词汇，这将是在检查麻醉相关的数据后，在9 表演场地; 2）实施基于结构化模型的原型，以测试从AIMS导入数据以增强ACS NSQIP数据库的可行性; 在后续阶段采用扩大的ACS NSQIP平台的执行计划。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.