A world wide web-based user interface for a data management system for use in multi-institutional clinical trials—Development and experimental operation of an automated patient registration and random allocation system

1996 ◽  
Vol 17 (6) ◽  
pp. 476-493 ◽  
Author(s):  
Takahiro Kiuchi ◽  
Yasuo Ohashi ◽  
Masaru Konishi ◽  
Yasutsugu Bandai ◽  
Tomoo Kosuge ◽  
...  
Keyword(s):  
Clinical Trials ◽  
User Interface ◽  
World Wide Web ◽  
Data Management ◽  
World Wide ◽  
Data Management System ◽  
Random Allocation ◽  
Web Based ◽  
Allocation System ◽  
Patient Registration

World-Wide Web-Based Graphical User Interfaces for Laboratory Data

2002 ◽  
Vol 41 (05) ◽  
pp. 411-413 ◽  
Author(s):  
D. Keller ◽  
W. J. Schaller ◽  
J. S. K. Wong ◽  
P. C. de Groen
Keyword(s):  
Information System ◽  
User Interface ◽  
World Wide Web ◽  
Graphical User Interface ◽  
Mayo Clinic ◽  
World Wide ◽  
Laboratory Data ◽  
Laboratory Information System ◽  
Web Browser ◽  
Web Based

Summary Objectives: Electronic medical record systems permit collection of large amounts of medical information. Usually, information is presented in a fixed format, either as text or tables. Health care providers have to navigate this fixed format in order to find information useful for a specific patient-provider interaction. The main objective of this work was to allow the provider immediate access to specific laboratory information through the development of a highly customizable, graphical user interface to the Mayo Clinic laboratory information system. Methods – Results: Here we describe this platform-independent, World-Wide-Web-based graphical user interface that allows the provider to see all or a predetermined panel of essential laboratory data in graphical format. Advantages include availability at internet-based workstations, immediate recognition of trends over time, ability to zoom in and out of specific periods of time, and detailed analysis of patient values in relationship to normal values. Conclusions: Web browser-based user interface allowing graphical display of laboratory data using Java technology was described. The connection to the Mayo Clinic laboratory information system combines cross-platform support for use on virtually any networked machine, interaction through a Web browser for ease of use, and a combination of the Perl and Java languages for powerful data processing and interactivity.

scholarly journals Evaluation of WebPages performance W.R.T UI/UX developed using different frameworks

2019 ◽  
Vol 8 (6) ◽  
pp. 575-579
Keyword(s):  
User Interface ◽  
World Wide Web ◽  
Exponential Growth ◽  
World Wide ◽  
Markup Language ◽  
Web Portals ◽  
Web Based ◽  
Hypertext Markup Language ◽  
Dynamic Hypertext ◽  
The Web

Last decade observed the exponential growth of World Wide Web (WWW) due to the growing trend of migration of each & every information on the web. In order to design the User Interface (UI) of web based application, a number of frameworks are used such as Bootstrap, WordPress, and Joomla etc. But sometimes the use of Dynamic HyperText Markup Language (DHTML) to design from scratch is preferred over frameworks. In this paper, research was carried out to compare the performance with respect to UI on different parameters of web-portals designed using frameworks viz-a-viz use of DHTML technology. Performance was compared using the tools, GTMetrix and Pingdom. Results can be used to facilitate the decision to select the framework or not, while designing the UI of webpages.

scholarly journals An Easily Accessible Web-Based Minimization Random Allocation System for Clinical Trials

2013 ◽  
Vol 15 (7) ◽  
pp. e139 ◽  
Author(s):  
Lan Xiao ◽  
Qiwen Huang ◽  
Veronica Yank ◽  
Jun Ma
Keyword(s):  
Clinical Trials ◽  
Random Allocation ◽  
Web Based ◽  
Allocation System

Intel® Component Diagnostic Technology: Tools and Education for Intel Component Defect Reduction

2004 ◽  
Author(s):  
Julie S. Doll
Keyword(s):  
User Interface ◽  
Data Management ◽  
Contract Manufacturing ◽  
Defect Reduction ◽  
Web Based ◽  
Technology Tools ◽  
Diagnostic Capability ◽  
Diagnostic Technology

Abstract To enable efficient, accurate debug of Intel architecture components to take place within contract manufacturing sites, and to provide alternatives for the removal of Intel components from, Intel is deploying a diagnostic capability and attendant educational collateral known as to achieve these objectives Intel® Component Diagnostic Technology. This paper will describe details of Intel® Component Diagnostic Technology, including the diagnostic fixture and user interface, diagnostic scripts and analytical coverage, data management and reporting, and on-site and Web-based educational offerings.

Clinical Trial Data Management Software: A Review of the Technical Features

2019 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Data Management ◽  
Clinical Data ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Data Management System ◽  
Management Systems ◽  
Data Management Systems ◽  
Technical Features

Background:Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.Methods:Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.Results:Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.Conclusion:It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.

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