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

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

Type
article
Institution
Externe
Périodique
Academic Radiology  
Auteur(s)
Lee, H.
Auteure/Auteur
Chapiro, J.
Auteure/Auteur
Schernthaner, R.
Auteure/Auteur
Duran, R.
Auteure/Auteur
Wang, Z.
Auteure/Auteur
Gorodetski, B.
Auteure/Auteur
Geschwind, J.F.
Auteure/Auteur
Lin, M.
Auteure/Auteur
Liens vers les personnes
Duran, Rafael  
ISSN
1878-4046
Statut éditorial
Publié
Date de publication
2015
Volume
22
Numéro
4
Première page
527
Dernière page/numéro d’article
533
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Technical ReportPublication Status: ppublish
Résumé
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.
Sujets

Adult

Biomedical Research/m...

Biomedical Research/s...

Data Collection/metho...

Data Collection/stati...

Database Management S...

Databases, Factual/st...

Health Information Ex...

Humans

Information Storage a...

Information Storage a...

Liver Neoplasms/diagn...

Male

Prospective Studies

Radiology/statistics ...

Surveys and Questionn...

User-Computer Interfa...

PID Serval
serval:BIB_8798EB43C580
DOI
10.1016/j.acra.2014.12.002
PMID
25641319
Permalien
https://iris.unil.ch/handle/iris/219494
Date de création
2016-06-14T08:28:46.531Z
Date de création dans IRIS
2025-05-21T04:11:21Z
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