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But in places where people cannot afford such devices the opportunity for data collection is reduced.
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Digital data collection is reducing the time taken to capture information and share it with non-ward-based professionals.
The burden of data collection was reduced by using: (i) a single sample of medical records for all 4 QIs.
However, important unresolved scientific issues remain, and further monitoring and targeted data collection is recommended to reduce prediction uncertainties and allow cost effective strategies for mitigation to be designed and implemented.
First, the data collection cost is reduced compared to retraining or model adaptation.
Data collection was anonymous, reducing response bias, but sacrifices class level statistical models.
Comprehensive and validated ethnicity data collection is essential if we are to reduce inequalities in health and access to healthcare services.
Electronic data collection is preferred by patients [ 22, 23], reduces missing values compared to paper and pencil methods [ 24], allows tailoring of questions to minimise patient burden, and has the potential for automatic entry of data into medical records [ 23, 25].
For systemic problems, data collection is important.
Data collection is meagre and infrequent.
Data collection is nothing new.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com