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行业 通过临床信息学这一学科，我们认为这是一种天然的契合，并分解 系统工程和医疗保健研究之间的障碍通过密切合作而不是共同的 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“建立更好的交付系统：一种新的工程/保健伙伴关系”确定的系统 并建议采用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。它确定了这方面的关键障碍 战略，包括医疗保健和工程学科在“方法、指标、 价值观和思维定势。我们提出了临床信息学反应研究培训的新策略。 直接涉及报告中指出的问题。这一战略建立在现有成功协作的基础上 工程与应用学院系统工程与信息工程系 弗吉尼亚大学(UVA)的理科和UVA医学院的几个单位，包括 公共卫生科学系临床信息学分部。我们的项目培养博士生和 博士后培训机会旨在吸引来自其他领域的学生和知名研究人员 以解决具有挑战性的临床信息学问题。该程序从现有的 内容丰富的SE研究生课程，有独特的课程和研究内容。核心课程 包括对临床信息学、SE以及医疗保健的结构和操作的正式介绍 传输系统。随后用于培训的替代轨道包括人-自动化交互， 计算统计和模拟、风险和决策分析、系统集成和优化 控制力。研究项目是协作的，学员有医疗保健和工程方面的指导 当他们使用系统工程和医学信息学方法进行研究时， 改进了医疗保健提供和培训。我们预计，这种协作的培训方法将导致 临床信息学的基本进展和训练有素的研究人员将继续开发 因此，满足了不结盟运动和国际移民组织所阐述的需求。

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.