{"title":"Call for papers: Special Issue for Health Informatics, IIE Transactions on Healthcare Systems Engineering","authors":"","doi":"10.1080/19488300.2016.1239477","DOIUrl":null,"url":null,"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","PeriodicalId":89563,"journal":{"name":"IIE transactions on healthcare systems engineering","volume":"6 1","pages":"260 - 261"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19488300.2016.1239477","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IIE transactions on healthcare systems engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19488300.2016.1239477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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