Systems Engineering Focus on Clinical Informatics

该培训计划的目标是将系统工程专业的学生和教师带入医疗保健领域。 通过临床信息学的学科领域，我们认为这是一个自然的适合，并打破了 系统工程和医疗保健研究之间的障碍，通过密切合作，共同 研究目标。美国国家工程院（NAE）和医学研究所（IOM）2005年报告 题为"建立一个更好的提供系统：一个新的工程/保健伙伴关系"的系统 目前医疗保健服务的失败，并建议采取跨学科的方法来解决这些问题 基于信息技术和系统工程（SE）的问题。It identified识别key键barriers障碍to this 战略，包括医疗保健和工程学科在"方法，指标， 价值观和心态。"我们提出了一种新的临床信息学研究培训策略， 直接针对报告中指出的问题。这一战略建立在现有成功合作的基础上 工程与应用学院系统与信息工程系 弗吉尼亚大学（UVa）和弗吉尼亚大学医学院的几个单位，包括 公共卫生科学系临床信息学部。我们的计划创造博士和 博士后培训机会，旨在吸引学生和其他领域的研究人员 以解决具有挑战性的临床信息学问题。该程序从现有的 大量SE研究生课程，具有独特的课程和研究组成部分。核心课程 包括对临床信息学、SE以及医疗保健的结构和运作的正式介绍 运载系统。随后的替代训练轨道包括人机交互， 计算统计和模拟，风险和决策分析，系统集成和优化， 控制研究项目是合作的，学员有医疗保健和工程导师 因为他们使用系统工程和医学信息学方法进行研究， 改善医疗服务和培训。我们预计，这种合作的培训方法将导致 临床信息学的基本进展，一组训练有素的研究人员将继续发展 在实地，从而满足净减排和国际移民组织提出的需求。

The goal of this training program is to bring systems engineering students and faculty into the healthcare field through the discipline of clinical informatics, which we believe is a natural fit, and to break down the barriers between systems engineering and healthcare research through close collaboration over common research goals. The National Academy of Engineering (NAE) and Institute of Medicine (IOM) 2005 report entitled "Building a Better Delivery System: A New Engineering/Health Care Partnership" identified system failures in current healthcare delivery and recommended an interdisciplinary approach to solving these problems based on information technology and systems engineering (SE). It identified key barriersto this strategy, including differences between the healthcare and engineering disciplines in "methods, metrics, values and mind-sets." We propose a new strategy for research training in clinical informatics responding directly to the problems identified in the report. This strategy builds on existing successful collaborations between the Department of Systems and Information Engineering in the School of Engineering and Applied Science at the University of Virginia (UVa) and several units in UVa's School of Medicine, including the Division of Clinical Informatics in the Department of Public Health Sciences. Our program creates PhD and postdoctoral training opportunities designed to attract students and established researchers from other fields to address challenging clinical informatics questions. The program inherits a framework from the existing substantial SE graduate program, with unique curricular and research components. The core curriculum includes formal introductions to clinical informatics, SE, and the structure and operation of healthcare delivery systems. Subsequent alternative tracks for training include human-automation interaction, computational statistics and simulation, risk and decision analysis, systems integration, and optimization and control. Research projects are collaborative, with trainees having both healthcare and engineering mentors as they conduct research using systems engineering and medical informatics approaches applicable to improved healthcare delivery and training. We anticipate that this collaborative approach to training will lead to fundamental advances in clinical informatics with a trained set of researchers who will continue to develop the field, thereby addressing the needs articulated by the NAE and IOM.