Nurse perspectives of nurse-sensitive indicators for positive patient outcomes: A Delphi study

Author(s):  
Maree Steel ◽  
Philippa Seaton ◽  
Desma Christie ◽  
Janette Dallas ◽  
Irene Absalom
2015 ◽  
Vol 19 (4) ◽  
pp. 7-29
Author(s):  
Erwin William A. Leyva, ◽  
Arnold B. Peralta, ◽  
Lourdes Marie S. Tejero, ◽  
Marinelli A. Santos,

Caring, the core of nursing practice, remains a complex and vaguely defined concept. This paper presents various attempts to define caring and factors that affect its demonstration and associated outcomes from perspectives of patients and nurses. An integrative review was conducted from literature indexed in electronic databases from 2003 to 2014. Most published articles on caring were from Western cultures with a limited number from others. Caring was defined as a set of behaviors (knowledge, attitudes, and skills) exhibited in the process and context of the nurse-patient interaction. It is influenced by personal characteristics, culture, and the general environment of the nurse and client engaged in relationship. Caring behaviors were expressed in a continuum from mere presence to the performance of competent nursing care. Caring has been known to produce client satisfaction and positive patient outcomes.


Author(s):  
Ankita Daghottra ◽  
Dr. Divya Jain

Machine learning is a branch of artificial intelligence (AI) through which identification of patterns in data is done and with help of these patterns, useful outcomes or conclusions are predicted. One of the most prominent or frequently studied applications of machine learning is the surgical phase or robotic surgery. This makes machine learning an important part of research in robotics. The implementation of this technology in the field of healthcare aims in improving medical practices resulting in more precise and advanced surgical assessments. This paper aims in outlining the implementation and applications of machine learning related to robotics in the field of healthcare. Machine learning aims in generating positive outcomes with assumptions. The objective of this paper is to bring light on how these technologies have become an important part of providing more effective and comprehensive strategies which eventually add to positive patient outcomes and more advanced healthcare practices.


2017 ◽  
Vol 32 (4) ◽  
pp. e29
Author(s):  
Debbie Fracassi ◽  
Monica Seaman ◽  
Nancy Freeland ◽  
Julie Gottfried ◽  
Heather O’Brien

AORN Journal ◽  
1997 ◽  
Vol 66 (3) ◽  
pp. 514-514
Author(s):  
Catherine S. Richards

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