How I do it: a practical database management system to assist clinical research teams with data collection, organization, and reporting.

Details

Serval ID
serval:BIB_8798EB43C580
Type
Article: article from journal or magazin.
Collection
Publications
Title
How I do it: a practical database management system to assist clinical research teams with data collection, organization, and reporting.
Journal
Academic Radiology
Author(s)
Lee H., Chapiro J., Schernthaner R., Duran R., Wang Z., Gorodetski B., Geschwind J.F., Lin M.
ISSN
1878-4046 (Electronic)
ISSN-L
1076-6332
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
22
Number
4
Pages
527-533
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Technical ReportPublication Status: ppublish
Abstract
RATIONALE AND OBJECTIVES: The objective of this study was to demonstrate that an intra-arterial liver therapy clinical research database system is a more workflow efficient and robust tool for clinical research than a spreadsheet storage system. The database system could be used to generate clinical research study populations easily with custom search and retrieval criteria.
MATERIALS AND METHODS: A questionnaire was designed and distributed to 21 board-certified radiologists to assess current data storage problems and clinician reception to a database management system. Based on the questionnaire findings, a customized database and user interface system were created to perform automatic calculations of clinical scores including staging systems such as the Child-Pugh and Barcelona Clinic Liver Cancer, and facilitates data input and output.
RESULTS: Questionnaire participants were favorable to a database system. The interface retrieved study-relevant data accurately and effectively. The database effectively produced easy-to-read study-specific patient populations with custom-defined inclusion/exclusion criteria.
CONCLUSIONS: The database management system is workflow efficient and robust in retrieving, storing, and analyzing data.
Keywords
Adult, Biomedical Research/methods, Biomedical Research/statistics & numerical data, Data Collection/methods, Data Collection/statistics & numerical data, Database Management Systems/statistics & numerical data, Databases, Factual/statistics & numerical data, Health Information Exchange/statistics & numerical data, Humans, Information Storage and Retrieval/methods, Information Storage and Retrieval/statistics & numerical data, Liver Neoplasms/diagnosis, Male, Prospective Studies, Radiology/statistics & numerical data, Surveys and Questionnaires, User-Computer Interface
Pubmed
Create date
14/06/2016 9:28
Last modification date
20/08/2019 14:46
Usage data