Health-related quality of life of patients following selected types of lumbar spinal surgery: A pilot study

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Nursing as a Learning Discipline

The advent of the electronic health record and numerous mobile, wireless tools with the capacity to capture, store, and transmit prodigious amounts of data, both using and creating evidence-based content and analytics for clinical decision support, requires that all care providers rethink approaches to care delivery. The nursing profession is called to acutely appreciate and support the vision of documentation systems that provide optimal decision support at the point of care, represent nursing knowledge, and are also capable of capturing care delivery outcomes that can be used to inform future care and improve the health of the public. </jats:p

Nurse-patient congruence in problem identification in the home health setting.

Nurse-patient congruence in problem identification in the home health setting

Administration Spinal Cord Injury Population

In the following paper the process of knowledge generation from the Veterans Administration healthcare information system is explored. This inquiry is concerned with predicting length of stay of a subset of the total patient population, specifically those with spinal cord injuries (SCI). Although SCI patients do not present large numbers, they are outliers in the healthcare system due to extended hospital stays and high costs for treatment. Predicting length of stay can increase efficiencies and effectiveness in resource allocation thus lowering cost. The following research is the first of its kind to use nursing diagnosis and neural networks to predict length of stay. Background material on SCI and the knowledge discovery process is introduced. The entire data mining process is described beginning with data gathering followed by cleaning, aggregation, and integration. Issues faced while conducting the research are discussed. Results of artificial neural networks used to predict length of stay are presented

Toward a Central Repository for Sharing Nursing Informatics’ Best Practices

Published June 2016. 12 month embargo.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Toward a Central Repository for Sharing Nursing Informatics’ Best Practices

Published June 2016. 12 month embargo.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]