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Quality of data entry using single entry, double entry and automated forms processing--an example based on a study of
Aksel Paulsen1, Søren Overgaard, Jens Martin Lauritsen
1Department of Orthopaedic Surgery and Traumatology, Odense University Hospital, Odense, Funen, Denmark. Aksel.Paulsen@ouh.regionsyddanmark.dk
Plos One
|April 12, 2012
Summary
Automated forms processing, including Optical Mark Recognition, is a valid alternative to manual double-key data entry for structured health forms. This method offers comparable accuracy to the gold standard, improving efficiency in data transfer.
Area of Science:
- Health Services Research
- Data Management
- Clinical Informatics
Background:
- Patient-reported outcome measures (PROMs) are increasingly utilized in healthcare.
- Paper-based PROMs necessitate manual data entry, which is time-consuming.
- Automated forms processing presents a potential solution for efficient data transfer.
Purpose of the Study:
- To compare the accuracy of automated forms processing with manual data entry methods.
- To validate automated forms processing as an alternative to manual double-key data entry.
- To assess the efficiency of different data entry techniques for PROMs.
Main Methods:
- A cohort of 5777 patients was used, with 200 randomly selected.
- Questionnaires were processed using automated forms processing (Optical Mark Recognition, Intelligent Character Recognition) and manual single-key and double-key data entry.
- Data accuracy was measured by the proportion of correctly entered fields.
Main Results:
- Manual double-key data entry showed a low error rate (0.046/1000 fields).
- Optical Mark Recognition demonstrated no statistical difference in accuracy compared to manual double-key entry (0.046/1000 fields).
- Intelligent Character Recognition showed significantly higher error rates compared to both single and double manual entry.
Conclusions:
- Automated forms processing, specifically Optical Mark Recognition, is a valid alternative to manual double-key data entry for structured forms.
- Automated forms processing can be more accurate than single manual data entry.
- This technology offers a viable solution for efficient and accurate data capture in health services.
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