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Development of a data entry auditing protocol and quality assurance for a tissue bank database
Matloob Khushi1, Jane E Carpenter, Rosemary L Balleine
1Breast Cancer Tissue Bank, The University of Sydney at the Westmead Millennium Institute, Darcy Road, Westmead, NSW 2145, Australia. Matloob.khushi@sydney.edu.au
Cell and Tissue Banking
|February 19, 2011
Summary
Human transcription errors in tissue banks can compromise research data. An open-source tool, eAuditor, was developed to audit database entries, identifying error rates from 0.01% to 0.53%.
Area of Science:
- Biomedical Informatics
- Data Management
- Quality Assurance in Research
Background:
- Manual data extraction from diverse medical records for tissue banks presents transcription error risks.
- Accurate data is crucial for researchers accessing tissue bank materials.
Purpose of the Study:
- To implement a quality assurance measure for tissue bank data accuracy.
- To develop and assess an open-source tool (eAuditor) for auditing tissue bank database entries.
Main Methods:
- Developed an open-source database plug-in tool named eAuditor.
- Implemented an auditing protocol within the Breast Cancer Tissue Bank.
- Tested eAuditor on the Caisis open-source clinical-research database.
Main Results:
- Identified human entry error rates ranging from 0.01% for clinical follow-up details to 0.53% for pathological details.
- Highlighted the importance of audit protocols and tools like eAuditor in tissue banking.
Conclusions:
- eAuditor effectively assists in auditing tissue bank data, improving accuracy.
- The tool can be integrated into other databases requiring similar auditing functionalities.
