Call for papers: Special Issue for Health Informatics, IIE Transactions on Healthcare Systems Engineering

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引用次数: 1

Abstract

Health informatics is a multidisciplinary field that uses health information technology to improve healthcare on its effectiveness, efficiency, timeliness, safety and quality. Health informatics bridges information technology, computer science, statistics, data analytics, management science, systems engineering, social science and other fields to improve the healthcare workflow, enable better clinical processes, support decision making, identify patients risk, and provide information to enhance patient safety and quality. Over the past few years, the acceleration of Electronic Health Record (EHR) adoption brought by “meaningful use” incentive programs from the Centers for Medicare and Medicaid Services, and the rapid progress on the infrastructures and methodologies on data analytics, drive the rapid growth of healthcare informatics. In the industrial and system engineering and operations research community, Health informatics is becoming more and more popular, and there are increasing number of IE/OR faculty members becoming specialized in healthcare related research and number of research publications are increasing very rapidly. In order to provide a publication venue to promote and present the emerging research results in the area of health informatics and to investigate the impacts and applications of healthcare informatics in healthcare industry, IIE transactions on Healthcare systems engineering is organizing a special issue for researchers, clinicians, scientists and engineers presenting their innovative work on the topic of healthcare informatics. Prospective authors are encouraged to submit their completed or ongoing original work related to the health informatics field in this special issue. The topics include but are not limited to: EHR, HIS and other clinical information systems Healthcareworkflowandprocessmodeling and simulation Disease modeling Artificial Intelligence in healthcare Big data analytics and machine learning in healthcare Healthcare data acquisition, transmission, management and visualization Medical imaging/biomedical signal processing and analytics Data driven health logistics and supply chain management mHealth Innovations Data driven healthcare operation analysis Quality and Reliability Engineering method for patient quality and safety Health economics Health Care Management and Policy Cognitive computing for healthcare delivery and disease management Meaningful use and legislative issues Other topics related to healthcare informatics Authors can submit their manuscripts via the ScholarOne Manuscripts (Choose for special issue): https://mc.manuscriptcentral.com/uhse
征文:健康信息学特刊,IIE医疗系统工程汇刊
卫生信息学是一个多学科领域,它利用卫生信息技术来提高医疗保健的有效性、效率、及时性、安全性和质量。健康信息学是信息技术、计算机科学、统计学、数据分析、管理科学、系统工程、社会科学等领域的桥梁,旨在改善医疗工作流程,实现更好的临床流程,支持决策制定,识别患者风险,并提供信息以提高患者安全和质量。在过去几年中,医疗保险和医疗补助服务中心的“有意义的使用”激励计划加速了电子健康记录(EHR)的采用,以及基础设施和数据分析方法的快速进展,推动了医疗保健信息学的快速增长。在工业、系统工程和运筹学领域,健康信息学越来越受欢迎,越来越多的IE/OR教师专门从事医疗保健相关的研究,研究出版物的数量也在迅速增加。为了提供一个出版场所来促进和展示健康信息学领域的新兴研究成果,并调查医疗保健信息学在医疗保健行业的影响和应用,IIE医疗保健系统工程交易为研究人员,临床医生,科学家和工程师组织了一个特别的问题,展示他们在医疗保健信息学主题上的创新工作。鼓励潜在作者在本期特刊中提交与卫生信息学领域相关的已完成或正在进行的原创作品。主题包括但不限于:EHR、HIS等临床信息系统医疗工作流程建模与仿真疾病建模医疗人工智能医疗大数据分析和机器学习医疗数据采集、传输、管理和可视化医学成像/生物医学信号处理和分析数据驱动的卫生物流和供应链管理移动健康创新数据驱动的医疗运营分析质量和可靠性患者质量和安全的工程方法卫生经济学卫生保健管理和政策用于医疗保健提供和疾病管理的认知计算有意义的使用和立法问题与医疗保健信息学相关的其他主题作者可以通过ScholarOne稿件(特刊选择):https://mc.manuscriptcentral.com/uhse提交稿件
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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