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A point of care electronic stroke data collection system

Authors: Ian Sleigh; John Young; Elizabeth Teale;

A point of care electronic stroke data collection system

Abstract

Data reporting requirements in many areas of healthcare are considerable, and increasingly form the basis of remuneration. The solution to efficient capture and submission of large volumes of accurate data is therefore likely to be electronic. Using the example of stroke, this article describes the development and implementation of electronic data collection systems into NHS secondary care trusts across Yorkshire. We describe our strategy for engagement with the end-user including requirement gathering, scoping of existing systems, identification of gaps in data reporting and development of IT ‘glue’ to allow these gaps to be bridged. An operationalised framework for this strategy is provided. Through close attention to data structure, we have been able to develop systems which may facilitate the collection and submission of existing mandatory data reporting requirements, reducing the data collection burden and maximising efficiency and data quality.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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