scholarly journals Case Report Form (CRF) Design Made Easy: An Evaluation of Clinical Data Acquisition Standards Harmonization (CDASH) in Use

2015 ◽  
Vol 04 (04) ◽  
Author(s):  
Motohiko Adomi ◽  
Satoshi Ueno
2019 ◽  
Vol 22 ◽  
pp. S113
Author(s):  
M. Labrador ◽  
A. Seshatri ◽  
D. Garofalo ◽  
J. Webster ◽  
M. Gopalkrishna ◽  
...  

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e17512-e17512
Author(s):  
D. M. Reeves ◽  
E. Helton ◽  
J. Speakman ◽  
E. Ness ◽  
G. Komatsoulis

e17512 Background: Oncology clinical research can be facilitated through use of a set of core variables to collect, aggregate, analyze and report data across a number of diverse research settings. These elements can be captured in Case Report Form (CRF) templates, and cloned to expedite the activation of a clinical trial and the collection of data. Through the efforts of the Cancer Biomedical Informatics Grid or caBIG community, the creation of a set of CRFs to support NCI-sponsored trials has been underway since the summer of 2007. Methods: A schematic to represent commonly-used CRFs in oncology trials was created as a roadmap for the project. Priorities were established, and community broadcasts used to recruit workgroup members with clinical, biostatistical, and regulatory expertise. CRFs were contributed by the community-at-large, including the pharmaceutical industry and NCI cooperative groups. Variables from a set of CRFs were partitioned into one of four groups: mandatory, conditional, optional, or not to be included in a CRF. After all the variables for a CRF were finalized by consensus, data elements were created and registered into an NCI ISO/IEC 11179 metadata repository that facilitates the reuse of data elements and CRFs. Results: Eight workgroups have completed their work by the end of 2008, with additional groups underway. The results of the first eight groups were harmonized with the Clinical Data Acquisitions Standards Harmonization or CDASH version 1.0, a standard for CDISC. After approval, the variables are assembled into CRFs with instructions that are available through NCI's data standards repository in a variety of electronic formats. The variables will undergo a rigorous change management process with regular review and versioning as required. Conclusions: The identification and reuse of standards to support the conduct of oncology research depends upon our ability to manage data sets that can be aggregated and analyzed in a timely manner. The caBIG CRF harmonization and standardization variables are being implemented now through a series of early adoption activities and a phased deployment plan that will result in the reuse of a single set of variables to support the conduct of oncology clinical trials. No significant financial relationships to disclose.


F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 81
Author(s):  
Sander de Ridder ◽  
Jeroen A.M. Beliën

Semantic interoperability of clinical data is essential to preserve its meaning and intent when the data is exchanged, re-used or integrated with other data. Achieving semantic operability requires the use of a communication standard, such as HL7, as well as (functional) information standards. Manually mapping clinical data to a medical thesaurus, such as SNOMED CT, is complicated and requires expert knowledge of both the dataset, including its context, and the thesaurus. As an alternative, the (re-)use of codebooks, data definitions which may already have been mapped to a thesaurus, can be a viable approach. We’ve developed the iCRF Generator, a Java program that can generate the core of an interoperable electronic case report form (iCRF) for several of the major electronic data capture systems (EDCs). To build their CRFs, users can select one or more items from established codebooks, available from an online system called ART-DECOR. By providing an easy to use method to create CRFs for multiple EDCs based on the same codebooks, interoperability can be more easily attained.


F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 81
Author(s):  
Sander de Ridder ◽  
Jeroen A.M. Beliën

Semantic interoperability of clinical data is essential to preserve its meaning and intent when the data is exchanged, re-used or integrated with other data. Achieving semantic operability requires the use of a communication standard, such as HL7, as well as (functional) information standards. Manually mapping clinical data to a medical thesaurus, such as SNOMED CT, is complicated and requires expert knowledge of both the dataset, including its context, and the thesaurus. As an alternative, the (re-)use of codebooks, data definitions which may already have been mapped to a thesaurus, can be a viable approach. We’ve developed the iCRF Generator, a Java program that can generate the core of an interoperable electronic case report form (iCRF) for several of the major electronic data capture systems (EDCs). To build their CRFs, users can select one or more items from established codebooks, available from an online system called ART-DECOR. By providing an easy to use method to create CRFs for multiple EDCs based on the same codebooks, interoperability can be more easily attained.


2010 ◽  
Vol 2010 ◽  
pp. 1-3 ◽  
Author(s):  
Harpreet Singh ◽  
Satnam Kaur ◽  
P. Yuvarajan ◽  
Nishant Jain ◽  
Lalit Maini

The radiological diagnosis of osteolytic lesions of the long bones in pediatric population constitutes a challenge when the case history and clinical data are uncharacteristic. We believe that the description of few clinically and histologically proven cases to verify the existence of radiological signs useful for diagnosis may be of interest. Here, we describe a case of Langerhans' cell histiocytosis (LCH) presenting as unifocal eosinophilic granuloma of femur along with a brief review of the literature.


2012 ◽  
Vol 12 (12) ◽  
pp. 714-720
Author(s):  
Young-Hwa Baek ◽  
Ho-Seok Kim ◽  
Si-Woo Lee ◽  
Hee-Jeong Jin

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