Volume 5 Supplement 1

Abstracts from the 1st Clinical Research Informatics (CRI) Solutions Day 2014

Open Access

ObTiMA

Journal of Clinical Bioinformatics20155(Suppl 1):S3

DOI: 10.1186/2043-9113-5-S1-S3

Published: 22 May 2015

Characterisation

Ontology-based Clinical Trial Management Application, clinical trial data management.

Tool description

ObTiMA is an ontology-based clinical trial data management system [1] to support clinicians in designing and conducting clinical trials. The Trial Builder in which all trial aspects can be specified facilitates the design phase; it is therefore possible to define the outline as well as metadata of a trial in a master protocol including trial goals or administrative data.

The ontology-based CRF (case report form) creation module of the Trial Builder is one of the systems core functionalities (Figure 1). A graphical user interface allows defining content, navigation, and layout of CRFs to capture all patient data during a trial. The resulting descriptions are based on ontological concepts for each CRF item along with metadata, such as data type and measurement unit. The user interface makes the underlying ontological aspects transparent to shield the user from complex logical data representations. For example, if an item has been created based on a concept, its attributes, like label, data type or answer possibilities, are determined automatically (but they can also be adopted manually if necessary).
Figure 1

ObTiMA user interface. Display of creating a CRF to register a patient in the SIOP trial.

Since many trials collect similar types of data, it is useful to store CRF forms in a template repository for reuse. When setting up a trial these templates can be reused and adapted to the new trial's needs.

ObTiMA's second core functionality is the management of patient data. The setup of this modul is done automatically based on the items defined in the trial builder and an easy to use interface is provided to enter patient data into CRFs. A protection framework that de-identifies all patient-related data and role-based access control that enables fine-grained control over access ensure the security of all collected data. Furthermore, all system access and changes to data are permanently logged via an audit trial. In summary, the ObTiMA system has been developed in a modular way allowing the straightforward extension of its core functionalities. Currently modules to integrate DICOM images with collected CRF data and a module to facilitate the reporting of Serious Adverse Events are being developed.

Status of development

The prototype is being validated for GCP compliance.

Users

SIOP D-A-CH.

Link

Declarations

Acknowledgement

Supported by p-medicine (European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement No 270089).

Authors’ Affiliations

(1)
Saarland University Medical Center

References

  1. Stenzhorn H, Weiler G, Brochhausen M, Schera F, Kritsotakis V, Tsiknakis M, et al: The ObTiMA system - ontology-based managing of clinical trials. Stud Health Technol Inform. 2010, 160 (Pt 2): 1090-1094.PubMedGoogle Scholar

Copyright

© Stenzhorn; licensee BioMed Central Ltd. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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