Electronic Data Capture (Edc) – A New Mantra for Clinical Trials

Sahoo, Umakanta; Bhatt, Arun

doi:10.1080/10529410390892052

Cited by 24 publications

(22 citation statements)

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“…Compared with paper methods, the use of mobile electronic data collection improves the rate of data flow, is preferred by investigators, improves data accuracy, is more environmentally friendly and reduces costs [14][15][16][17]. In addition, data quality and study activity may be monitored, allowing dynamic resource allocation.…”

Section: Byod Electronic Data Collection In Health Audit Research Anmentioning

confidence: 99%

The feasibility of using ‘bring your own device’ (BYOD) technology for electronic data capture in multicentre medical audit and research

et al. 2015

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SummaryLarge-scale audit and research projects demand robust, efficient systems for accurate data collection, handling and analysis. We utilised a multiplatform 'bring your own device' (BYOD) electronic data collection app to capture observational audit data on theatre efficiency across seven hospital Trusts in South Yorkshire in June-August 2013. None of the participating hospitals had a dedicated information governance policy for bring your own device. Data were collected by 17 investigators for 392 individual theatre lists, capturing 14 148 individual data points, 12 852 (91%) of which were transmitted to a central database on the day of collection without any loss of data. BYOD technology enabled accurate collection of a large volume of secure data across multiple NHS organisations over a short period of time. Bring your own device technology provides a method for collecting real-time audit, research and quality improvement data within healthcare systems without compromising patient data protection.

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Section: Byod Electronic Data Collection In Health Audit Research Anmentioning

confidence: 99%

The feasibility of using ‘bring your own device’ (BYOD) technology for electronic data capture in multicentre medical audit and research

et al. 2015

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“…[2][3][4][5]), electronic data capture systems (EDC) or clinical trials management systems (e.g. [6][7][8][9][10][11][12]), there is an abundant need for also collecting high quality human biological samples in the genomic era (e.g. blood, tissue or DNA).…”

Section: Introductionmentioning

confidence: 99%

IT Infrastructure Components for Biobanking

Prokosch

Beck²,

Ganslandt³

et al. 2010

Appl Clin Inform

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KeywordsRequirement specification, biobanking, translational research information technology infrastructure SummaryObjective: Within translational research projects in the recent years large biobanks have been established, mostly supported by homegrown, proprietary software solutions. No general requirements for biobanking IT infrastructures have been published yet. This paper presents an exemplary biobanking IT architecture, a requirements specification for a biorepository management tool and exemplary illustrations of three major types of requirements. Methods: We have pursued a comprehensive literature review for biobanking IT solutions and established an interdisciplinary expert panel for creating the requirements specification. The exemplary illustrations were derived from a requirements analysis within two university hospitals. Results: The requirements specification comprises a catalog with more than 130 detailed requirements grouped into 3 major categories and 20 subcategories. Special attention is given to multitenancy capabilities in order to support the project-specific definition of varying research and biobanking contexts, the definition of workflows to track sample processing, sample transportation and sample storage and the automated integration of preanalytic handling and storage robots. Conclusion: IT support for biobanking projects can be based on a federated architectural framework comprising primary data sources for clinical annotations, a pseudonymization service, a clinical data warehouse with a flexible and user-friendly query interface and a biorepository management system. Flexibility and scalability of all such components are vital since large medical facilities such as university hospitals will have to support biobanking for varying monocentric and multicentric research scenarios and multiple medical clients.

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“…We identified only a few published reports that have compared EDC with paper data collection, or more generally addressed EDC for research purposes. [1-6]…”

Section: Introductionmentioning

confidence: 99%