Necessary prerequisites for evidence-based practice:results of investigating nurses'informatics competency and information literacy skills

This study aimed to evaluate the correlation between nursing informatics(NI)competency and information literacy skills for evidencebased practice(EBP)among intensive care nurses.This cross-sectional study was conducted on 184 nurses working in intensive care units(ICUs).The study data were collected through demographic information,Nursing Informatics Competency Assessment Tool(NICAT),and information literacy skills for EBP questionnaires.The intensive care nurses received competent and low-moderate levels for the total scores of NI competency and information literacy skills,respectively.They received a moderate score for the use of different information resources but a low score for information searching skills,different search features,and knowledge about search operators,and only 31.5%of the nurses selected the most appropriate statement.NI competency and related subscales had a significant direct bidirectional correlation with information literacy skills for EBP and its subscales(P<0.05).Nurses require a high level of NI competency and information literacy for EBP to obtain up-to-date information and provide better care and decision-making.Health planners and policymakers should develop interventions to enhance NI competency and information literacy skills among nurses and motivate them to use EBP in clinical settings.

Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic outbreaks.This review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their performance.Since,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by SM.This paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic outbreaks.DL has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation results.In recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM analysis.This paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM analysis.Finally,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Informatics and Health征稿启事

Informatics and Health(《信息学与健康》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Managing Health Treatment by Optimizing Complex Lab-Developed Test Configurations: A Health Informatics Perspective

A complex Laboratory Developed Test(LDT)is a clinical test developed within a single laboratory.It is typically configured from many fea-ture constraints from clinical repositories,which are part of the existing Lab-oratory Information Management System(LIMS).Although these clinical repositories are automated,support for managing patient information with test results of an LDT is also integrated within the existing LIMS.Still,the support to configure LDTs design needs to be made available even in standard LIMS packages.The manual configuration of LDTs is a complex process and can generate configuration inconsistencies because many constraints between features can remain unsatisfied.It is a risky process and can lead patients to undergo unnecessary treatments.We proposed an optimized solution(opt-LDT)based on Genetic Algorithms to automate the configuration and resolve the inconsistencies in LDTs.Opt-LDT encodes LDT configuration as an optimization problem and generates a consistent configuration that satisfies the constraints of the features.We tested and validated opt-LDT for a local secondary care hospital in a real healthcare environment.Our results,averaged over ten runs,show that opt-LDT resolves 90%of inconsistencies while taking between 6 and 6.5 s for each configuration.Moreover,positive feedback based on a subjective questionnaire from clinicians regarding the performance,acceptability,and efficiency of opt-LDT motivates us to present our results for regulatory approval.

Informatics and Health征稿启事

Informatics and Health(《信息学与健康(英文)》)是由中国医学科学院北京协和医学院主办,中国医学科学院医学信息研究所与科爱公司合作编辑出版,旨在反映医学卫生健康领域与信息科学技术相关的前沿学术研究进展的英文期刊(ISSN:2949-9534),本刊由中国工程院院士、中国医学科学院北京协和医学院院校长王辰教授担任主编,中国医学科学院医学信息研究所所长刘辉研究员担任执行主编。

Knowledge acquisition, semantic text mining, and security risks in health and biomedical informatics

Computational techniques have been adopted in medi-cal and biological systems for a long time. There is no doubt that the development and application of computational methods will render great help in better understanding biomedical and biological functions. Large amounts of datasets have been produced by biomedical and biological experiments and simulations. In order for researchers to gain knowledge from origi- nal data, nontrivial transformation is necessary, which is regarded as a critical link in the chain of knowledge acquisition, sharing, and reuse. Challenges that have been encountered include: how to efficiently and effectively represent human knowledge in formal computing models, how to take advantage of semantic text mining techniques rather than traditional syntactic text mining, and how to handle security issues during the knowledge sharing and reuse. This paper summarizes the state-of-the-art in these research directions. We aim to provide readers with an introduction of major computing themes to be applied to the medical and biological research.

Medical Informatics:概念与历史

历数Medical Informatics的定义,总结出这些定义的共有特点;回顾Medical Informatics在美国的历史,并且介绍它在中国的发展状况。

融会与创新:Community Informatics在中国的本土化发展——从Library trends的专辑Community Informatics in China谈起

美国图书馆学刊物《图书馆趋势》推出的中国社群信息学专辑是中美学者合作推介CI落地中国的诸多努力的结果,专辑展现了中国的社会信息化研究状况,反映了中国学者开展CI研究的自觉意识,是CI的中国本土化发展的良好开端。在CI的中国本土化建设中,应注意相关术语的中西方对接,关注CI与LIS的连接,还应重视案例保存与分享,践行CI研究伦理,注重国际视野与本土意识相结合。

Rapid identification of chemical profile in Gandou decoction by UPLCQ-TOF-MSE coupled with novel informatics UNIFI platform

Gandou decoction(GDD),a well-known traditional Chinese medicine(TCM)formula,has been widely used for decades to treat Wilson's disease(WD)in China due to its remarkable clinical effects.However,the chemical constituents of GDD still remain unclear because of their complexity.In this work,a reliable and sensitive strategy based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MSE)and UNIFI informatics platform was applied to investigate the chemical components in GDD.In total,96 compounds including anthraquinones,alkaloids,protostane triterpenoids,flavonoids,triterpenoid saponins,tannins,curcuminoids,etc,were identified or tentatively characterized from GDD by comparing their retention time,accurate mass within 5 ppm error and MSE fragmentation patterns.Among them,eleven compounds were confirmed unambiguously with reference standards.Representative compounds in different chemical structure types were analyzed in fragmentation patterns and characteristic ions.Moreover,to better understand the chemical contribution of individual herbs to the whole decoction,the corresponding each herb in GDD was also detected.This study developed a rapid method for characterizing the chemical constituents in GDD,which could not only be used for chemical standardization and quality control,but also be helpful for further research of GDD in vivo.

Impact of Informatics on QIPC

Quantum information processing and communication(QIPC) is an area of science that has two main goals: On one side,it tries to explore(still not well known) potential of quantum phenomena for(efficient and reliable) information processing and(efficient,reliable and secure) communication.On the other side,it tries to use quantum information storing,processing and transmitting paradigms,principles,laws,limitations,concepts,models and tools to get deeper insights into the phenomena of quantum world and to find efficient ways to describe and handle/simulate various complex physical phenomena.In order to do that QIPC has to use concepts,models,theories,methods and tools of both physics and informatics.The main role of physics at that is to discover primitive physical phenomena that can be used to design and maintain complex and reliable information storing,processing and transmitting systems.The main role of informatics is,one one side,to explore,from the information processing and communication point of view,limitations and potentials of the potential quantum information processing and communication technology,and to prepare information processing methods that could utilise potential of quantum information processing and communication technologies.On the other side,the main role of informatics is to guide and support,by theoretical tools and outcomes,physics oriented research in QIPC.The paper is to describe and analyse a variety of ways and potential informatics contributes and should/could contribute to the development of QIPC--see also Gruska(1999,2006,2008).