Electronic data capture and DICOM data management in multi-center clinical trials

2016 ◽  
Author(s):  
Daniel Haak ◽  
Charles-E. Page ◽  
Thomas M. Deserno
Keyword(s):  
Clinical Trials ◽  
Data Management ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Electronic Data

scholarly journals Simplifying Electronic Data Capture in Clinical Trials: Workflow Embedded Image and Biosignal File Integration and Analysis via Web Services

2014 ◽  
Vol 27 (5) ◽  
pp. 571-580 ◽  
Author(s):  
Daniel Haak ◽  
Christian Samsel ◽  
Johan Gehlen ◽  
Stephan Jonas ◽  
Thomas M. Deserno
Keyword(s):  
Clinical Trials ◽  
Web Services ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Electronic Data ◽  
Embedded Image

scholarly journals Assessment of the Chad guinea worm surveillance information system: A pivotal foundation for eradication

2021 ◽  
Vol 15 (8) ◽  
pp. e0009675
Author(s):  
Saugat Karki ◽  
Adam Weiss ◽  
Jina Dcruz ◽  
Dorothy Hunt ◽  
Brandon Haigood ◽  
...  
Keyword(s):  
Information System ◽  
Data Management ◽  
Data Storage ◽  
Management Practices ◽  
Information Value ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Electronic Data ◽  
Guinea Worm ◽  
Electronic Data Capture System

Background In the absence of a vaccine or pharmacological treatment, prevention and control of Guinea worm disease is dependent on timely identification and containment of cases to interrupt transmission. The Chad Guinea Worm Eradication Program (CGWEP) surveillance system detects and monitors Guinea worm disease in both humans and animals. Although Guinea worm cases in humans has declined, the discovery of canine infections in dogs in Chad has posed a significant challenge to eradication efforts. A foundational information system that supports the surveillance activities with modern data management practices is needed to support continued program efficacy. Methods We sought to assess the current CGWEP surveillance and information system to identify gaps and redundancies and propose system improvements. We reviewed documentation, consulted with subject matter experts and stakeholders, inventoried datasets to map data elements and information flow, and mapped data management processes. We used the Information Value Cycle (IVC) and Data-Information System-Context (DISC) frameworks to help understand the information generated and identify gaps. Results Findings from this study identified areas for improvement, including the need for consolidation of forms that capture the same demographic variables, which could be accomplished with an electronic data capture system. Further, the mental models (conceptual frameworks) IVC and DISC highlighted the need for more detailed, standardized workflows specifically related to information management. Conclusions Based on these findings, we proposed a four-phased roadmap for centralizing data systems and transitioning to an electronic data capture system. These included: development of a data governance plan, transition to electronic data entry and centralized data storage, transition to a relational database, and cloud-based integration. The method and outcome of this assessment could be used by other neglected tropical disease programs looking to transition to modern electronic data capture systems.

scholarly journals Electronic Data Capture for Registries and Clinical Trials in Orthopaedic Surgery: Open Source versus Commercial Systems

2010 ◽  
Vol 468 (10) ◽  
pp. 2664-2671 ◽  
Author(s):  
Jatin Shah ◽  
Dimple Rajgor ◽  
Shreyasee Pradhan ◽  
Mariana McCready ◽  
Amrapali Zaveri ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Open Source ◽  
Orthopaedic Surgery ◽  
Data Capture ◽  
Electronic Data Capture ◽  
Electronic Data
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