Survey of infection in hospitals: use of an automated data entry system

This paper describes an automated approach to data entry which substantially reduced time and effort involved in infection control surveillance within a large teaching hospital. As part of our involvement in the Second National Prevalence Survey of infection in hospitals, a hospital-wide prevalence...

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Bibliographic Details
Published in:The Journal of hospital infection 1996-10, Vol.34 (2), p.87-97
Main Authors: Smyth, E.T.M., Emmerson, A.M.
Format: Article
Language:English
Subjects:
automation
Biological and medical sciences
Cross Infection - economics
Cross Infection - epidemiology
data entry
Databases, Factual
Epidemiologic Methods
Epidemiology. Vaccinations
General aspects
Humans
Infection
Infectious diseases
Medical sciences
Population Surveillance
Prevalence
surveillance
Surveys and Questionnaires
United Kingdom - epidemiology
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Summary:This paper describes an automated approach to data entry which substantially reduced time and effort involved in infection control surveillance within a large teaching hospital. As part of our involvement in the Second National Prevalence Survey of infection in hospitals, a hospital-wide prevalence survey of infection was carried out during January and February 1994. We simultaneously entered the results manually into an ‘in-house’ database to enable analysis of data within the hospital. The prevalence survey was repeated during January and February 1995 using a paper questionnaire designed ‘in-house’ and read automatically using a sheet-fed optical scanner. There was a substantial 17-fold decrease in data entry time using this method compared with manual entry. The new approach enabled more rapid analysis of surveillance data and feedback to hospital staff. If hospital clinical data is collected routinely in a format suitable for scanning, then potentially useful data could be rendered accessible. Automated data entry systems are invaluable in reducing time spent on data input and should be considered by all those involved in surveillance and audit. There would appear to be little hope in the near future of having all patient clinical data in an electronic format so that the prospects for scanning initiatives are excellent.
ISSN:0195-6701
1532-2939
DOI:10.1016/S0195-6701(96)90133-4