Systems Engineering Focus on Clinical Informatics

系统工程专注于临床信息学

基本信息

批准号：
7214424
负责人：
STEPHANIE A GUERLAIN
金额：
$ 58.3万
依托单位：
UNIVERSITY OF VIRGINIA
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-07-01 至 2012-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7214424
关键词：
Academy Address Admission activity Adopted Advisory Committees Annual Reports Applications Grants Applied Research Area Arts Attention Automation Basic Behavioral Science Behavior Binding Bioethics Bioinformatics Biometry Caliber Career Choice Caring Characteristics Clinical Clinical Engineering Clinical Informatics Clinical Psychology Code Cognitive Science Collaborations Commit Communication Communities Computer Simulation Computerized Medical Record Consultations Control Groups Data Data Security Databases Decision Analysis Decision Making Decision Modeling Decision Support Systems Depth Detection Development Disadvantaged Discipline Doctor of Philosophy Economics Educational Curriculum Educational process of instructing Engineering Enrollment Environment Environmental Wind Equilibrium Ethics Evaluation Evaluation Reports Event Experimental Designs Expert Systems Faculty Failure Feedback Figs - dietary Funding Goals Grant Health Health Information System Health Policy Health Sciences Health Services Research Health system Healthcare Healthcare Systems Hour Human Individual Informatics Information Systems Inherited Inpatients Institute of Medicine (U.S.)Joints Journals Judgment Knowledge Lead Learning Left Life Manuscripts Master of Science Master&apos s Degree Medical Medical Informatics Medicine Mental Processes Mentors Methods Metric Mind Minor Modeling Nonparametric Statistics Numbers Operative Surgical Procedures Oral Outcomes Research Outpatients Pathway interactions Pattern Recognition Perception Performance Physicians Physicians&apos Offices Policies Postdoctoral Fellow Principal Investigator Privacy Probability Problem Solving Proceedings and Conferences Proceedings, Conference Process Productivity Program Evaluation Public Health Publications Publishing Qualifying Questionnaires Queuing Theory Range Recommendation Recruitment Activity Regression Analysis Regulation Reporting Research Research Ethics Research Personnel Research Project Grants Research Proposals Research Training Resources Review Literature Risk Sampling Schedule Schools Science Scientist Security Shapes Short-Term Memory Signal Detection Analysis Specific qualifier value Staging Standards of Weights and Measures Statistical Models Stochastic Processes Structure Students Suggestion Surface Surveys System Systems Integration Task Performances Testing Time Time Series Analysis Training Training Programs Translating Universities Videotape Virginia Visit Week Work Workload Writing base behavior influence care delivery career cognitive system computer human interaction computerized data processing data mining data modeling database design design ethnographic method expectation experience falls follow-up health care cost/financing health care delivery health care quality human subject improved informatics training instructor interdisciplinary approach interest journal article lectures lens long term memory medical schools member models and simulation neuromechanism post-doctoral training pre-doctoral programs research and development response simulation skills statistics success symposium theories tool usability

项目摘要

DESCRIPTION (provided by applicant): 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 barriers to 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.

描述（由申请人提供）：该培训计划的目的是通过临床信息学的学科将系统工程专业的学生和教职员工带入医疗保健领域，我们认为这是一种自然的契合度，并通过对共同的研究目标进行密切合作，打破系统工程和医疗保健研究之间的障碍。美国国家工程学院（NAE）和医学研究所（IOM）2005年的报告标题为“建立更好的交付系统：一种新的工程/医疗保健伙伴关系”确定了当前医疗保健提供的系统失败，并建议采用跨学科方法来解决基于信息技术和系统工程（SE）的这些问题。它确定了该策略的关键障碍，包括“方法，指标，价值观和思维方式”中医疗保健和工程学科之间的差异。我们提出了一项新的临床信息研究培训策略，直接应对报告中发现的问题。该策略建立在弗吉尼亚大学（UVA）工程与应用科学学院系统与信息工程系之间的现有成功合作，以及UVA医学院的几个单位，包括公共卫生科学系的临床信息学部。我们的计划创造了博士学位和博士后培训机会，旨在吸引来自其他领域的学生和既定研究人员，以解决挑战性的临床信息学问题。该计划从现有的实质性SE研究生计划中继承了一个框架，该计划具有独特的课程和研究组件。核心课程包括对临床信息学，SE的正式介绍以及医疗保健提供系统的结构和运行。随后的训练替代轨道包括人类自动化相互作用，计算统计和模拟，风险和决策分析，系统集成以及优化和控制。研究项目是协作的，学员在使用系统工程和医疗信息学方法进行研究时，都拥有医疗保健和工程导师，可用于改善医疗保健提供和培训。我们预计，这种协作培训方法将通过训练有素的研究人员将继续发展该领域，从而解决临床信息学的基本进步，从而满足NAE和IOM所阐明的需求。