基于B/S模式生理多参数远程监护系统的研制

研制了一种基于B/S模式的生理多参数远程监护系统。该系统由监护中心服务器、Internet网和客户端基于PC机的生理多参数监护仪构成。采用B/S工作模式,客户端通过PC机中的浏览器上网进入监护中心服务器网页,通过W eb页面下载安装ActiveX控件,利用ActiveX控件完成生理多参数的采集显示和远程传输。实验结果表明,该系统运行稳定可靠,实时性强,适于家庭和社区医疗保健中的生理多参数远程监护。     

基于 C/S与B/S混合模式的重症肌无力管理系统的设计与研制

重症肌无力临床医生在就诊过程中收集了大量的临床资料,但是面对庞大而又杂乱的临床资料,人工对其进行管理、查询、统计分析等显然不可取,费时费力且更不用说从中“挖掘”出有用的信息以辅助诊断;此外,对于病人服药情况、疗效的随访等也难于开展,更不用说在医院各科室内部、Internet上共享临床资料。基于此,本文开发了以C/S和B/S混合模式的重症肌无力信息系统,以期为临床和科研做出一定的贡献。     

一种基于B/S模式的PACS的研究与实现

我们采用 B/ S模式及其构建技术 ,给出了一个完整 PACS体系结构的设计方案 ,并介绍了在此体系结构基础上实现的 PACS各部分的功能应用。此 B/ S模式的 PACS具备安全、稳定、易维护、易升级等优点 ,可方便的实现远程医疗     

C/S架构下基于Delphi技术的学分管理系统设计

目前,医院为激发临床医务人员继续教育的积极性,在职称晋升过程中要求医生修完规定的I、II类学分.为规范管理各科室继续教育内容的登记、查询、修改及审核,现结合我院实际情况,在HIS系统框架内提出基干Delphi技术的学分管理系统设计.经接入HIS服务器,系统运行良好,大大方便了科教科和各级临床科室的学分管理,提高了工作效率.     

金卫“军字二号”工程远程医学会诊网加入Internet网的可行性设计

本文就金卫“军字二号”工程远程医学会诊网加入Ｉｎｔｅｒｎｅｔ网实现的条件、加入Ｉｎｔｅｒｎｅｔ网的意义及发展前景做了论述, 并对该系统发展提出建议     

基于B/S模式的药物手册系统

本文阐述了网络的应用和开发在医院信息系统中的意义,比较了C/S结构和B/S结构在网络应用开发中的优缺点。在这个基础上提出了一个基于B/S模式的药物手册系统,重点介绍了该系统的设计方案,所采用的主要技术,以及该系统所能实现的功能。并对系统的可扩展性作了探讨。     

基于S3C2440A的远程家庭云监护系统的设计

目的:设计了一套基于ARM嵌入式系统的远程家庭云监护系统。方法 :系统以S3C2440A为核心,集合了传感器等各类终端监测设备,并配套摄像头和网络传输模块。首先,由终端传感器采集老人的生理及报警信息;然后,通过蓝牙方式将采集到的信息传给分布于家中由S3C2440A构建的工作站。S3C2440A同时可控制摄像头动态采集老人在家中的画面。上述信息经工作站初步分析处理后,经WIFI上传到云端服务器;最后,云端服务器将监测信息进一步分析处理,并被用户访问。云端服务器也可接受来自用户的指令并反馈给工作站。为了安全,系统访问端设置不同的权限,拥有最高权限的家人可授权给指定的社区卫生服务中心,并赋予一定的权限。结果:本系统可实时监测老人的血压、心电等生理信息。在发生危机情况时,可通过报警模块发出警示信息。医生或家人可随时随地通过浏览网页或手机终端的APP访问云端服务器,查看老人的生理信息及在家中的现场状况,更有效地监测老人的身体状况并及时发现处理突发状况。结论:相比传统的远程监护系统,本系统考虑了家人的日常监护作用和老人的自助呼救功能,有利于促进家庭-社区模式健康监护的发展。而云端服务器的应用,在降低成本的同时,也有助于系统与未来的云医疗系统融合。     

基于C/S结构的卫生人才库系统的设计与开发

目的为了建立良好的卫生人才推举机制,促进卫生人才资源的有效开发和利用,加快卫生人才队伍建设,使南京地区卫生人才管理更高效。方法采用3层C/S(Client/Server)结构,使用VB.net和SQL Server 2012设计并开发了卫生人才库系统。结果开发出了一套界面人性化,信息查询和统计准确、快捷、灵活、方便,数据存储安全可靠的卫生人才库系统,管理员利用该系统可以方便快捷地完成卫生人才信息的录入、查询、统计和打印输出等工作。结论该系统已在多家单位推广试用,稳定可靠。该系统可以帮助政府更加清晰地了解卫生人才现状,为制订卫生人才建设规划和卫生系统评审工作提供了参考依据,实现了对卫生人才的高效管理,提高了医学人才的专业水平。     

Developing a Medical Image Content Repository for E-Learning

The integration of medical informatics and e-learning systems could provide many advanced applications including training, knowledge management, telemedicine, etc. Currently, both the domains of e-learning and medical image have sophisticated specifications and standards. It is a great challenge to bring about integration. In this paper, we describe the development of a Web interface for searching and viewing medical images that are stored in standard medical image servers. With the creation of a Web solution, we have reduced the overheads of integration. We have packaged Digital Imaging and Communications in Medicine (DICOM) network services as a component that can be used via a Web server. The Web server constitutes a content repository for searching, editing, and storing Web-based medical image content. This is a simple method by which the use of Picture Archiving and Communication System (PACS) can be extended. We show that the content repository can easily interact and integrate with a learning system. With the integration, the user can easily generate and assign medical image content for e-learning. A Web solution might be the simplest way for system integration. The demonstration in this paper should be useful as a method of expanding the usage of medical information. The construction of a Web-based repository and integrated with a learning system may be also applicable to other domains.     

Validating DICOM Content in a Remote Storage Model

Verifying the integrity of DICOM files transmitted between separate archives (eg, storage service providers, network attached storage, or storage area networks) is of critical importance. The software application described in this article retrieves a specified number of DICOM studies from two different DICOM storage applications; the primary picture archiving and communication system (PACS) and an off-site long-term archive. The system includes a query/retrieve (Q/R) module, storage service class provider (SCP), a DICOM comparison module, and a graphical user interface. The system checks the two studies for DICOM 3.0 compliance and then verifies that the DICOM data elements and pixel data are identical. Discrepancies in the two data sets are recorded with the data elements (tag number, value representation, value length, and value field) and pixel data (pixel value and pixel location) in question. The system can be operated automatically, in batch mode, and manually to meet a wide variety of use cases. We ran this program on a 15% statistical sample of 50,000 studies (7500 studies examined). We found 2 pixel data mismatches (resolved on retransmission) and 831 header element mismatches. We subsequently ran the program against a smaller batch of 1000 studies, identifying no pixel data mismatches and 958 header element mismatches. Although we did not find significant issues in our limited study, given other incidents that we have experienced when moving images between systems, we conclude that it is vital to maintain an ongoing, automatic, systematic validation of DICOM transfers so as to be proactive in preventing possibly catastrophic data loss.     

PACS Viewer Based on Java Applet in B／S Architecture

PACS can be applied in the network architecture of Client/Server (C/S) and Browser/Server (B/S) in current application of hospital information system. PACS Viewer of B/S model is realized by means of the browser commonly, but web browser does not support DICOM standard. In this article, how to use Java Applet to realize the display and operations of DICOM images will be discussed. The lightweight method to view DICOM images is very fit for telemedical treatment, and the situations not require strong ability in image operations。     

基于B/S架构的DICOM结构化报告的设计与应用

本文介绍了在以B／S架构为苯础的PACS工作站上设计与实现DICOM结构化报告应用的方法。设计依照DICOMSR标准，以XML作为信息交换的方式，对DICOMSR进行解析与转换，并利用Web服务发布结构化诊断报告。相比传统的自然文本语言报告，DICOM结构化报告具有结构性、标准性等特点，并为报告生成、分发和管理提供了一个有效的机制。     

在医学图像DICOM格式中实现JPEG压缩算法

本文描述了在医学图像DICOM格式中实现JPEG压缩算法的编程思路和方法.文中提供了部分VC 代码,并对关键函数进行了较详细的注解,对同类工作具有参考价值.     

Development of a Next-Generation Automated DICOM Processing System in a PACS-Less Research Environment

The use of clinical imaging modalities within the pharmaceutical research space provides value and challenges. Typical clinical settings will utilize a Picture Archive and Communication System (PACS) to transmit and manage Digital Imaging and Communications in Medicine (DICOM) images generated by clinical imaging systems. However, a PACS is complex and provides many features that are not required within a research setting, making it difficult to generate a business case and determine the return on investment. We have developed a next-generation DICOM processing system using open-source software, commodity server hardware such as Apple Xserve®, high-performance network-attached storage (NAS), and in-house-developed preprocessing programs. DICOM-transmitted files are arranged in a flat file folder hierarchy easily accessible via our downstream analysis tools and a standard file browser. This next-generation system had a minimal construction cost due to the reuse of all the components from our first-generation system with the addition of a second server for a few thousand dollars. Performance metrics were gathered and the system was found to be highly scalable, performed significantly better than the first-generation system, is modular, has satisfactory image integrity, and is easier to maintain than the first-generation system. The resulting system is also portable across platforms and utilizes minimal hardware resources, allowing for easier upgrades and migration to smaller form factors at the hardware end-of-life. This system has been in production successfully for 8 months and services five clinical instruments and three pre-clinical instruments. This system has provided us with the necessary DICOM C-Store functionality, eliminating the need for a clinical PACS for day-to-day image processing.     

How Carequality,The Sequoia Project,and eHealth Exchange Support the Interoperable Exchange of Health Data in the USA

Every organization in the health IT industry plays an important role in overcoming barriers to health information exchange in the United States. It is important to understand imaging interoperability in the overall context of Health Information Exchange (HIE). The rapid evolution of storage, bandwidth and network transport technologies has made the handling of imaging data converge with the primarily text-based healthcare data. The radiology community must understand the overall environment and become a tightly integrated part of it. As the health IT ecosystems continue to evolve, it became clear that there would not be a single health information exchange network to service the nation. Rather, like other industries such as telecom and banking, there would be multiple networks that would need to interconnect. To support compliance to interoperability standards and specifications, The Sequoia Project began collaborating with industry to create testing programs and tooling that supports transport, security and content testing requirements for four production testing programs today. These testing programs validate compliance to standards for transport and security as well standards for the payloads such as clinical documents and imaging data. While once operating under the same umbrella, The Sequoia Project, Carequality and eHealth Exchange (https://ehealthexchange.org/) have been separate companies since 2018. Each plays a unique role in helping patient information move where and when it is needed, each working with a framework of standards published by IHE, DICOM, and HL7 to enable health information exchange.     

Multi-series DICOM: an Extension of DICOM That Stores a Whole Study in a Single Object

Today, most medical images are stored as a set of single-frame composite Digital Imaging and Communications in Medicine (DICOM) objects that contain the four levels of the DICOM information model—patient, study, series, and instance. Although DICOM addresses most of the issues related to medical image archiving, it has some limitations. Replicating the header information with each DICOM object increases the study size and the parsing overhead. Multi-frame DICOM (MFD) was developed to address this, among other issues. The MFD combines all DICOM objects belonging to a series into a single DICOM object. Hence, the series-level attributes are normalized, and the amount of header data repetition is reduced. In this paper, multi-series DICOM (MSD) is introduced as a potential extension to the DICOM standard that allows faster parsing, transmission, and storage of studies. MSD extends the MFD de-duplication of series-level attributes to study-level attributes. A single DICOM object that stores the whole study is proposed. An efficient algorithm, called the one-pass de-duplication algorithm, was developed to find and eliminate the replicated data elements within the study. A group of experiments were done that evaluate MSD and the one-pass de-duplication algorithm performance. The experiments show that MSD significantly reduces the amount of data repetition and decreases the time required to read and parse DICOM studies. MSD is one possible solution that addresses the DICOM limitations regarding header information repetition.     

Use of a Rich Internet Application Solution to Present Medical Images

Browser with Rich Internet Application (RIA) Web pages could be a powerful user interface for handling sophisticated data and applications. Then the RIA solutions would be a potential method for viewing and manipulating the most data generated in clinical processes, which can accomplish the main functionalities as general picture archiving and communication system (PACS) viewing systems. The aim of this study is to apply the RIA technology to present medical images. Both Digital Imaging and Communications in Medicine (DICOM) and non-DICOM data can be handled by our RIA solutions. Some clinical data that are especially difficult to present using PACS viewing systems, such as ECG waveform, pathology virtual slide microscopic image, and radiotherapy plan, are as well demonstrated. Consequently, clinicians can use browser as a unique interface for acquiring all the clinical data located in different departments and information systems. And the data could be presented appropriately and processed freely by adopting the RIA technologies.     

Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging

Medical image data plays a critical role in health care today. Whatever the context of image processing (research and educational activities, diagnostic or forensic purposes, etc.), they are supposed to be treated as highly sensitive. Unfortunately, currently available image-processing tools also enable very sophisticated malicious modification of their content.This paper is focused on the assessment of the effectiveness of selected so-called zero watermarking methods (ones that do not cause any modification of an image sample), in the protection of the integrity, and proving authorship, of these medical image studies. We have studied many zero watermarking methods and selected one representative from each type of known algorithms for comparison.We have conducted a series of simulations over a huge research database of anonymized medical image studies (patient examinations).