| Literature DB >> 27756852 |
Ashfaq Khokhar1, Muhammad Kamran Lodhi2, Yingwei Yao3, Rashid Ansari2, Gail Keenan3, Diana J Wilkie3.
Abstract
Despite an unprecedented amount of health-related data being amassed from various technological innovations, our ability to process this data and extract hidden knowledge has yet to catch up with this explosive growth. Although nursing care plans can be an effective tool to support the achievement of desired patient outcomes, their online collection, storage, and processing is lagging far behind. As a result, the impact of nursing care is not well understood from qualitative as well as quantitative perspectives. In this article, we first outline a complete life cycle of nursing care data, and present a knowledge discovery and analysis framework for such data sets. We also highlight Big Data issues pertaining to the analysis of nursing care data. Using an exemplar data set, we demonstrate the broad applicability of the proposed framework by showing knowledge discovery results for different outcomes related to patients, nursing staff, and administrators.Entities:
Keywords: Big Data; electronic health records; end of life; hospitalized patients; informatics; nursing data
Year: 2016 PMID： 27756852 PMCID： PMC5498252 DOI： 10.1177/0193945916672828
Source DB: PubMed Journal: West J Nurs Res ISSN： 0193-9459 Impact factor: 1.967