Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data

Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data

Abstract Background The use of big data and machine learning within clinical decision support systems (CDSSs) has the potential to transform medicine through better prognosis, diagnosis and automation of tasks. Real-time application of machine learning algorithms, however, is dependent on data being...

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Bibliographic Details
Main Authors: Warren M. Perry, Rubayet Hossain, Richard A. Taylor
Format: Article
Language:English
Published: BioMed Central 2018-07-01
Series:BMC Emergency Medicine
Subjects:
Clinical decision support
Machine learning
Data quality
Electronic health records
Online Access:http://link.springer.com/article/10.1186/s12873-018-0170-9

Internet

http://link.springer.com/article/10.1186/s12873-018-0170-9

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