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Reducing Errors from the Electronic Transcription of Data Collected on Paper Forms: A Research Data Case Study
Reducing Errors from the Electronic Transcription of Data Collected on Paper Forms: A Research Data Case Study
- Publication Year :
- 2008
- Publisher :
- American Medical Informatics Association, 2008.
-
Abstract
- We conducted a reliability study comparing single data entry (SE) into a Microsoft Excel spreadsheet to entry using the existing forms (EF) feature of the Teleforms software system, in which optical character recognition is used to capture data off of paper forms designed in non-Teleforms software programs. We compared the transcription of data from multiple paper forms from over 100 research participants representing almost 20,000 data entry fields. Error rates for SE were significantly lower than those for EF, so we chose SE for data entry in our study. Data transcription strategies from paper to electronic format should be chosen based on evidence from formal evaluations, and their design should be contemplated during the paper forms development stage.
- Subjects :
- Paper
Medical Records Systems, Computerized
Computer science
Health Informatics
Case Report
Data entry
computer.software_genre
Medical Records
User-Computer Interface
Software
Reliability study
Surveys and Questionnaires
Feature (machine learning)
Humans
Software system
Research data
Electronic Data Processing
Medical Errors
business.industry
Optical character recognition
Artificial intelligence
Data mining
Forms and Records Control
Transcription (software)
business
computer
Natural language processing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....0f8095c33fc51a5aa80760b9dd8ab7a4