COLLABORATIVE RESEARCH: Antecedents of Complexity in Healthcare Routines

合作研究：医疗保健程序复杂性的前因

• 批准号: 1733753
• 负责人: Julie Wolf
• 金额: $ 35万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1733753&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Antecedents; Complexity; Healthcare

AbstractThe goal of this research is to understand how social and technological factors contribute to the complexity of organizational routines in healthcare. We know that complexity is influenced by the way work is organized, but current theory and methods do not provide useful ways to examine this relationship. This research will develop and test new methods for analyzing the complexity of healthcare routines using electronic medical records (EMR) and interviews from a range of clinical specialties at the University of Rochester Medical Center, including Dermatology, Dermatologic Surgery, Orthopedics, Pediatric Oncology, and Radiation Oncology. This research will deepen our understanding of the factors that drive the complexity of healthcare organizations, a context where there is an urgent need for better ways of organizing. This project will provide a way to analyze the complexity of healthcare routines, and better understand complexity as a factor in the cost and quality of healthcare.Complexity is a basic concept in the science of organization, and routines are the fundamental way that organizations accomplish work. However, the state of the art in organizational science currently provides no valid, reliable way to measure or compare their complexity. This research will demonstrate a novel, graph-theoretic methodology that incorporates social and material dimensions into the portrayal of routines. This methodology can be used to assess and compare the influence of various antecedents on the complexity of clinical routines. This project will also result in new research infrastructure, in the form of algorithms and software that can be applied in future research on any kind of process or routine. This new research infrastructure is particularly timely and valuable because of the increasing availability of digital trace data, such as the electronic medical record data used here.

本研究的目的是了解社会和技术因素如何影响医疗保健组织常规的复杂性。 我们知道复杂性受到工作组织方式的影响，但目前的理论和方法并没有提供有用的方法来检验这种关系。 这项研究将开发和测试新的方法，用于分析医疗保健常规的复杂性，使用电子病历（EMR）和罗切斯特大学医学中心的一系列临床专业的访谈，包括皮肤科，皮肤外科，骨科，儿科肿瘤学和放射肿瘤学。 这项研究将加深我们对推动医疗保健组织复杂性的因素的理解，在这种背景下，迫切需要更好的组织方式。本项目将提供一种方法来分析医疗常规的复杂性，并更好地理解复杂性作为医疗成本和质量的一个因素。复杂性是组织科学的基本概念，而常规是组织完成工作的基本方式。然而，组织科学的最新发展水平目前还没有提供有效、可靠的方法来衡量或比较它们的复杂性。这项研究将展示一种新颖的，图论的方法，将社会和物质层面的日常写照。该方法可用于评估和比较各种前因对临床常规复杂性的影响。该项目还将产生新的研究基础设施，以算法和软件的形式，可应用于任何类型的过程或例程的未来研究。这种新的研究基础设施特别及时和有价值，因为数字跟踪数据的可用性越来越高，例如这里使用的电子病历数据。