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The CASH Database

The database is the hub of the CASH service. The content can be added, searched and exported to create personalised alerting services for library customers.  There are a number of newsfeeds that can be embedded into external CAS website pages keeping them constantly updated with the latest content.

To search for a specific item enter a keyword that may appear in either the title or summary.

Database entry is very quick and easy, see the Database Quick Guide for further support.

Search Tips

  • Search for the first three words in the title e.g. "Five year forward" will find everything about the Five Year Forward View

  • Browse a category from the drop-down list to see the latest news on that topic

  • Enter a keyword to narrow your search e.g. Category Mental Health and Keyword Parity 

Early prediction of central line associated bloodstream infection using machine learning

Source
American Journal of Infection Control
Year of publication
2022
Abstract
Central line-associated bloodstream infections (CLABSIs) are associated with significant morbidity, mortality, and increased healthcare costs. Despite the high prevalence of CLABSIs in the U.S., there are currently no tools to stratify a patient's risk of developing an infection as the result of central line placement. To this end, we have developed and validated a machine learning algorithm (MLA) that can predict a patient's likelihood of developing CLABSI using only electronic health record data in order to provide clinical decision support.
Date added
13/05/2022
Created by
Catherine Stead
Published by
Current Awareness Service for Health