Automated entry of hospital infection surveillance data

Abstract

Objective: To assess the accuracy of an automated data entry system employing optical scanning technology and to provide an analysis of its costs as compared to manual data entry.

Design: The accuracy and cost of automated data entry of 100 surgical-wound infection surveillance questionnaires was compared to manual entry.

Setting: The Surgical Directorate, The Royal Hospitals, Belfast, Northern Ireland.

Results: The use of optical scanning technology greatly improved the speed and accuracy of data entry. The time spent by the keyboard operator on data entry was reduced substantially. For each surgical-wound infection questionnaire automatically processed, there was a saving in clerical time equivalent to $0.63. The automated data entry process resulted in a 22-fold productivity increase compared to manual data entry with validation. After validation, an error rate of < 0.2 errors per 1,000 responses was detected in automatically entered data compared to a rate of 12.4 errors per 1,000 responses for manually entered data. The automated system, including validation, provided a seven-fold productivity increase compared to "quick-and-dirty" manual data entry without validation.

Conclusion: Hospital information technology systems may achieve total integration of data management, but realistically this would appear to be very much in the future. Until then, in view of the accuracy and substantial savings in time and money, we recommend the use of automated data entry technology. This system would be especially useful where data are transported from outlying hospitals to a central receiving center for collation and analysis.