scholarly journals Translational Informatics Management System (TIMS): Towards OMICS based clinical data management for long term curation of clinical studies

2019 ◽  
Vol 4 (40) ◽  
pp. 1533
Author(s):  
Weihong Tay ◽  
Erwin Tantoso ◽  
Frank Eisenhaber ◽  
Wing-Cheong Wong
Keyword(s):  
Data Management ◽  
Clinical Data ◽  
Clinical Studies ◽  
Management System ◽  
Translational Informatics

scholarly journals Developing a Strategy for Imputing Missing Traffic Volume Data

2010 ◽  
Author(s):  
Mei Chen ◽  
Jingxin Xia ◽  
Rongfang (Rachel) Liu
Keyword(s):  
Data Management ◽  
Management System ◽  
Implementation Strategy ◽  
Traffic Volume ◽  
Data Management System ◽  
Volume Data ◽  
Potential Resource ◽  
Transportation Applications ◽  
Archive Data

Archived ITS-generated data can provide a potential resource for many long-term transportation applications. However, missing and suspicious data are inevitable due to detector and communication malfunctions. This paper presents a comparative analysis of various techniques for imputing missing traffic volume data in the archived data management system in Kentucky. The applicability of the techniques, as well as their reliability in terms of data requirement, is also discussed. An implementation strategy for the Kentucky archive data management system is then developed based on the performance and the applicability/reliability analyses.

Long-Term Pharmaceutical Cost Reduction Using a Data Management System

1998 ◽  
Vol 87 (4) ◽  
pp. 837-842
Author(s):  
Jay D. McNitt ◽  
Eugene T. Bode ◽  
Richard E. Nelson
Keyword(s):  
Data Management ◽  
Cost Reduction ◽  
Management System ◽  
Data Management System ◽  
Pharmaceutical Cost

A Low-Cost, Open-Source Informatics Framework for Clinical Trials and Outcomes Research

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 4763-4763
Author(s):  
William T. Tse ◽  
Kevin K. Duh ◽  
Morris Kletzel
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Clinical Data ◽  
Clinical Studies ◽  
Low Cost ◽  
Data Entry ◽  
Web Browser ◽  
Desktop Computers ◽  
It Support ◽  
Set Up

Abstract Abstract 4763 Data collection and analysis in clinical studies in hematology often require the use of specialized databases, which demand extensive information technology (IT) support and are expensive to maintain. With the goal of reducing the cost of clinical trials and promoting outcomes research, we have devised a new informatics framework that is low-cost, low-maintenance, and adaptable to both small- and large-scale clinical studies. This framework is based on the idea that most clinical data are hierarchical in nature: a clinical protocol typically entails the creation of sequential patient files, each of which documents multiple encounters, during which clinical events and data are captured and tagged for later retrieval and analysis. These hierarchical trees of clinical data can be easily stored in a hypertext mark-up language (HTML) document format, which is designed to represent similar hierarchical data on web pages. In this framework, the stored clinical data will be structured according to a web standard called Document Object Model (DOM), for which powerful informatics techniques have been developed to allow efficient retrieval and collation of data from the HTML documents. The proposed framework has many potential advantages. The data will be stored in plain text files in the HTML format, which is both human and machine readable, hence facilitating data exchange between collaborative groups. The framework requires only a regular web browser to function, thereby easing its adoption in multiple institutions. There will be no need to set up or maintain a relational database for data storage, thus minimizing data fragmentation and reducing the demand for IT support. Data entry and analysis will be performed mostly on the client computer, requiring the use of a backend server only for central data storage. Utility programs for data management and manipulation will be written in Javascript and JQuery, computer languages that are free, open-source and easy to maintain. Data can be captured, retrieved, and analyzed on different devices, including desktop computers, tablets or smart phones. Encryption and password protection can be applied in document storage and data transmission to ensure data security and HIPPA compliance. In a pilot project to implement and test this informatics framework, we designed prototype programming modules to perform individual tasks commonly encountered in clinical data management. The functionalities of these modules included user-interface creation, patient data entry and retrieval, visualization and analysis of aggregate results, and exporting and reporting of extracted data. These modules were used to access simulated clinical data stored in a remote server, employing standard web browsers available on all desktop computers and mobile devices. To test the capability of these modules, benchmark tests were performed. Simulated datasets of complete patient records, each with 1000 data items, were created and stored in the remote server. Data were retrieved via the web using a gzip compressed format. Retrieval of 100, 300, 1000 such records took only 1.01, 2.45, and 6.67 seconds using a desktop computer via a broadband connection, or 3.67, 11.39, and 30.23 seconds using a tablet computer via a 3G connection. Filtering of specific data from the retrieved records was equally speedy. Automated extraction of relevant data from 300 complete records for a two-sample t-test analysis took 1.97 seconds. A similar extraction of data for a Kaplan-Meier survival analysis took 4.19 seconds. The program allowed the data to be presented separately for individual patients or in aggregation for different clinical subgroups. A user-friendly interface enabled viewing of the data in either tabular or graphical forms. Incorporation of a new web browser technique permitted caching of the entire dataset locally for off-line access and analysis. Adaptable programming allowed efficient export of data in different formats for regulatory reporting purposes. Once the system was set up, no further intervention from IT department was necessary. In summary, we have designed and implemented a prototype of a new informatics framework for clinical data management, which should be low-cost and highly adaptable to various types of clinical studies. Field-testing of this framework in real-life clinical studies will be the next step to demonstrate its effectiveness and potential benefits. Disclosures: No relevant conflicts of interest to declare.

Long-Term Pharmaceutical Cost Reduction Using a Data Management System

1998 ◽  
Vol 87 (4) ◽  
pp. 837-842 ◽  
Author(s):  
Jay D. McNitt ◽  
Eugene T. Bode ◽  
Richard E. Nelson
Keyword(s):  
Data Management ◽  
Cost Reduction ◽  
Management System ◽  
Data Management System ◽  
Pharmaceutical Cost

SUPPORTING MULTI-SYNCHRONOUS GROUPWARE: DATA MANAGEMENT PROBLEMS AND A SOLUTION

2006 ◽  
Vol 15 (02) ◽  
pp. 229-258 ◽  
Author(s):  
NUNO PREGUIÇA ◽  
J. LEGATHEAUX MARTINS ◽  
HENRIQUE JOÃO DOMINGOS ◽  
SÉRGIO DUARTE
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Management System ◽  
Work Practice ◽  
Data Management System ◽  
Collaborative Activity ◽  
Activity Groups ◽  
Automatic Mechanism ◽  
Collaborative Activities

It is common that, in a long-term asynchronous collaborative activity, groups of users engage in occasional synchronous sessions. In this paper, we analyze the data management requirements for supporting this common work practice in typical collaborative activities and applications. We call the applications that support such work practice multi-synchronous applications. This analysis shows that, as users interact in different ways in each setting, some applications have different requirements and need to rely on different data sharing techniques in synchronous and asynchronous settings. We present a data management system that allows to integrate a synchronous session in the context of a long-term asynchronous interaction, using the suitable data sharing techniques in each setting and an automatic mechanism to convert the long sequence of small updates produced in a synchronous session into a large asynchronous contribution. We exemplify the use of our approach with two multi-synchronous applications.

scholarly journals Web-based program development for clinical data management system establishment

2012 ◽  
Vol 23 (1) ◽  
pp. 171-177 ◽  
Author(s):  
Im-Hee Shin ◽  
Dal-Ho Kim ◽  
Sang-Gyung Kim ◽  
Ki-Cheul Sohn ◽  
Chun-Woo Park ◽  
...  
Keyword(s):  
Data Management ◽  
Program Development ◽  
Clinical Data ◽  
Management System ◽  
Data Management System ◽  
Web Based ◽  
System Establishment ◽  
Clinical Data Management System
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