Abstract
A wealth of disparate data are routinely collected and stored within public hospitals in England, providing a potential source of information for novel surveillance tools for healthcare associated infections (HCAIs). In the absence of a complete electronic patient record, this study aims to utilise these data to predict HCAIs and enhance early identification.
Highlights
Introduction / objectives A wealth of disparate data are routinely collected and stored within public hospitals in England, providing a potential source of information for novel surveillance tools for healthcare associated infections (HCAIs)
In the absence of a complete electronic patient record, this study aims to utilise these data to predict HCAIs and enhance early identification
ResultsThe literature review resulted in 341 papers, providing 293 independent risk factors of healthcare associated infections (HCAIs). The database contains 370,559 administrative inpatient care records from 2007-10, corresponding to 310,722 microbiology tests, 628,861 diagnostic codes and Centre for Infection Prevention and Management, Imperial College London, London, UK
Summary
From International Conference on Prevention & Infection Control (ICPIC 2011) Geneva, Switzerland. 29 June – 2 July 2011. From International Conference on Prevention & Infection Control (ICPIC 2011) Geneva, Switzerland. Introduction / objectives A wealth of disparate data are routinely collected and stored within public hospitals in England, providing a potential source of information for novel surveillance tools for healthcare associated infections (HCAIs). In the absence of a complete electronic patient record, this study aims to utilise these data to predict HCAIs and enhance early identification
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