Quantifying Data Quality for Clinical Trials Using Electronic Data Capture
نویسندگان
چکیده
منابع مشابه
Quantifying Data Quality for Clinical Trials Using Electronic Data Capture
BACKGROUND Historically, only partial assessments of data quality have been performed in clinical trials, for which the most common method of measuring database error rates has been to compare the case report form (CRF) to database entries and count discrepancies. Importantly, errors arising from medical record abstraction and transcription are rarely evaluated as part of such quality assessmen...
متن کاملComparison of Electronic Data Capture (EDC) with the Standard Data Capture Method for Clinical Trial Data
BACKGROUND Traditionally, clinical research studies rely on collecting data with case report forms, which are subsequently entered into a database to create electronic records. Although well established, this method is time-consuming and error-prone. This study compares four electronic data capture (EDC) methods with the conventional approach with respect to duration of data capture and accurac...
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BACKGROUND Electronic data capture (EDC) tools provide automated support for data collection, reporting, query resolution, randomization, and validation, among other features, for clinical trials. There is a trend toward greater adoption of EDC tools in clinical trials, but there is also uncertainty about how many trials are actually using this technology in practice. A systematic review of EDC...
متن کاملElectronic case report forms and electronic data capture within clinical trials and pharmacoepidemiology
AIMS Researchers in clinical and pharmacoepidemiology fields have adopted information technology (IT) and electronic data capture, but these remain underused despite the benefits. This review discusses electronic case report forms and electronic data capture, specifically within pharmacoepidemiology and clinical research. METHODS The review used PubMed and the Institute of Electrical and Elec...
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Amid researchers' growing need for study data management, the CTSA-funded Institute for Translational Health Sciences developed an approach to combine technical and scientific resources with small-scale clinical trials researchers in order to make Electronic Data Capture more efficient. In a 2-year qualitative evaluation we found that the importance of ease of use and training materials outweig...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2008
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0003049