Web-based Multi-center Data Management System for Clinical Neuroscience Research

Modern clinical research often involves multi-center studies, large and heterogeneous data flux, and intensive demands of collaboration, security and quality assurance. In the absence of commercial or academic management systems, we designed an open-source system to meet these requirements. Based on...

Full description

Saved in:
Bibliographic Details
Published in:Journal of medical systems 2010-02, Vol.34 (1), p.25-33
Main Authors: Pozamantir, Alexander, Lee, Hedok, Chapman, Joab, Prohovnik, Isak
Format: Article
Language:English
Subjects:
Biomedical Research
Creutzfeldt-Jakob Syndrome - genetics
Database Management Systems
Health Informatics
Health Sciences
Humans
Information systems
Internet
Medical databases
Medical research
Medicine
Medicine & Public Health
Neurosciences
Neurosciences - methods
Open source software
Original Paper
Quality Control
Statistics for Life Sciences
Web sites
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Modern clinical research often involves multi-center studies, large and heterogeneous data flux, and intensive demands of collaboration, security and quality assurance. In the absence of commercial or academic management systems, we designed an open-source system to meet these requirements. Based on the Apache-PHP-MySQL platform on a Linux server, the system allows multiple users to access the database from any location on the internet using a web browser, and requires no specialized computer skills. Multi-level security system is implemented to safeguard the protected health information and allow partial or full access to the data by individual or class privilege. The system stores and manipulates various types of data including images, scanned documents, laboratory data and clinical ratings. Built-in functionality allows for various search, quality control, analytic data operations, visit scheduling and visit reminders. This approach offers a solution to a growing need for management of large multi-center clinical studies.
ISSN:0148-5598
1573-689X
DOI:10.1007/s10916-008-9212-2