认知"连贯性"与超文本设计

线性文本与超文本的区别,不只在于文本的结构方式、技术实现方式、阅读写作方式和存储记忆方式等方面,还在于文本的媒体表现方式.狭义的超文本,意指跨越文本局限、打破线性结构的语篇组织方式;广义的超文本,则是指运用超文本标示语言(HTML),经数字化编辑而成的包括文本、音乐、图像、动画、影视等一切表意媒体的信息集合(超文本语篇).因此,超文本连贯性,除了具有线性文本的特征,更有其自身的特点,以视觉原理为基础的数字化修辞手段便是主要手段之一.     

可视化技术及其在抗击SARS中的应用

本文主要介绍了可视化技术,其中重点阐述了科学计算可视化、信息可视化和地学可视化,最后总结了可视化技术在这次抗击非典型肺炎中所起到的重要作用.     

社区卫生服务信息系统功能建模研究

理顺功能关系、理清业务流程是构建社区卫生服务信息系统的前提和基础,功能建模是理顺功能关系的一个重要手段。在研究现有的各种功能分析方法的基础上,本文以IDEF0模型方法为基础,提出了社区卫生服务信息系统功能建模方法。通过建立功能、数据和约束之间的内在联系,为系统的功能设计和数据分析提供了基础。     

科室调整时"军卫一号"的数据转换

科室调整时。病人要随之分配到新的科室，病人的各种医疗数据要转换为新科室的数据。利用结构化查询语言，根据病人的调整情况，实施数据调整。这种数据转换方法，不但适用于新、老药品结构的“军卫一号”，而且其基本原理也适用于科室分开而护理单元不分开的情况。     

一体化医学语言系统中的循环等级关系

主要讨论了一体化医学语言系统(UMLS)超级叙词表中的循环等级关系和产生原因,及其识别和消除方法.     

Benefits of the DICOM Structured Report

Recently, the digital imaging and communications in medicine (DICOM) standard introduced rules for the encoding, transmission, and storage of the imaging diagnostic report. This medical document can be stored and communicated with the images in picture archiving and communication system (PACS). It is a structured document that contains text with links to other data such as images, waveforms, and spatial or temporal coordinates. Its structure, along with its wide use of coded information, enables the semantic understanding of the data that is essential for the Electronic Healthcare Record deployment. In this article, we present DICOM Structured Report (SR) and discuss its benefits. We show how SR enables efficient radiology workflow, improves patient care, optimizes reimbursement, and enhances the radiology ergonomic working conditions. As structured input significantly alters the interpretation process, understanding all its benefits is necessary to support the change. Biography Rita Noumeir is a professor at the Department of Electrical Engineering of the University of Quebec, école de Technologie Superieure in Montreal. A founding member of the Imaging, Vision, and Artificial Intelligence Laboratory (LIVIA), her main research interest is the Healthcare Information Technology, specifically, Interoperability, Electronic Patient Record, Security, Information Confidentiality, and Image Processing. As a member of both Technical and Planning International IHE Radiology Committees, Dr. Noumeir took part over the last 5 years in developing many Integrating the Healthcare Enterprise (IHE) Integration Profiles in Radiology and in organizing several Integration Demonstrations. She is a cofounder of IHE Canada. Dr. Noumeir contributed to many research and development projects in collaboration with several Canadian and international companies in medical imaging and healthcare information. Currently, she collaborates with the Diagnostic Imaging Team of Canada Health Infoway to define the principles and architecture for sharing imaging information between multiple healthcare institutions. She plays a leading role in the development of this solution that is published as an IHE Integration Profile for which she is the editor. Rita Noumeir holds a Ph.D. and a Masters degree in Biomedical Engineering from école Polytechnique of Montreal specializing in Medical Imaging. She is a professional engineer, and a member of the Ordre des ingénieurs du Québec.     

An integrative psychophysiological approach to brain hemisphere functions in schizophrenia

The present paper proposes a new psychophysiological approach to the genesis of positive and negative schizophrenic symptoms. According to this approach, the initial factor in schizophrenic disorders is a functional insufficiency of the right hemisphere which can be determined by early emotional experience in combination with subtle brain damage. This functional insufficiency causes (a) the inability to grasp and select information before its realization; and (b) the inability to produce a polysemantic context which is crucial for creativity, psychological defense, and the restoration of search activity, all of which determine psychophysiological adaptation to the environment. Right hemisphere insufficiency causes left hemisphere hyperactivity as an ineffective attempt to compensate for this functional deficiency. As a result, normal search activity is replaced by artificial search activity which is represented by “positive” symptoms, and which uses the predisposition of the left hemisphere's catecholamine system for its increased activity. The suggestion is made that cognitive impairment in schizophrenia (the inability to use appropriate previous information in relation to current perceptual input) is related to the competition between information processing which requires left hemisphere activity, and the formation of positive symptoms, also based on left hemisphere activity.     

Information Fusing Recognition of Traditional Chinese Medicine （TCM） Pulse State Based on Stochastic Fuzzy Neural Network

Based on the fuzzy characteristic of the pulse state and syndromes differentiation thinking mode of TCM, an information fusing recognition method of pulse states based on SFNN （Stochastic Fuzzy Neural Network） is presented in this paper. With the learning ability in parameters and structure, SFNN fuses the measurement information of three pulse-state sensors distributed in Cun, Guan, and Chi location of body for the pulse state recognition. The experimental results show that the percentage of correct recognition with new method is higher than that by single-data recognition one, with fewer off-line train numbers.     

How to Effectively Implement an Indicator System to Improve Performance from a Management Perspective: The Case of Taiwan Healthcare Indicator Series (THIS) System

This study uses the Taiwan Healthcare Indicator Series (THIS) system as an example to examine which determinants would improve performance by sharing indicators from a management perspective. This study population included all 227 hospitals participating in the THIS system in 2006. A structured questionnaire was sent to the director who was responsible for the THIS system via electronic mail. A total of 111 responses were returned by February 10, 2006. Questions included current implementation and impacts of the system. Hierarchical regression models were performed to identify which variables were significantly associated with performance improvement, adjusted for hospital characteristics. Four variables significantly associated with implementing the THIS system to improve performance were ‘senior management support,’ ‘benchmarking,’ ‘making departments improve the underperforming indicators and report the improvement results in performance management meetings,’ and ‘integration with the National Health Insurance payment regulations’. This study contributes substantially to the evidence base about what works to improve performance by information sharing. Although information sharing is the basis of efforts to improve performance, senior management support and how to effectively apply the information are the most important determinants of performance enhancement.