Abstract
Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate, which is described in 4As i.e. Volume, Variety, Velocity, and Veracity. Few examples of big data are Clinical data, Insurance and cost data, Patient behaviour & sentiment data and Research data. The use of big data technologies can help nurses and other healthcare providers improve care quality, optimize outcomes, and reduce the cost of healthcare. The ability for nurses to make optimal clinical decisions in the clinical area is dependent on having access to accurate, real- time information regardless of care setting. Currently, there are no agreed- upon rules for which data standards and nursing terminologies should be used, thus nursing documentation remains inconsistent even within a single hospital that has adopted a single nursing terminology. With inconsistent documentation and lack of agreement on standards, nursing data can’t consistently be used for quality measurement or improvement.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advance Research in Nursing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
