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Nursing informatics: state of the science *
Author(s) -
Henry Suzanne Bakken
Publication year - 1995
Publication title -
journal of advanced nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 155
eISSN - 1365-2648
pISSN - 0309-2402
DOI - 10.1111/j.1365-2648.1995.tb03121.x
Subject(s) - clinical decision support system , health informatics , decision support system , nursing process , nursing diagnosis , inference , informatics , nursing , nursing outcomes classification , task (project management) , nursing care , medical diagnosis , quality (philosophy) , variety (cybernetics) , knowledge management , computer science , medicine , nursing research , artificial intelligence , team nursing , philosophy , epistemology , pathology , electrical engineering , economics , management , engineering , public health
The phenomena of interest in nursing informatics are nursing data, nursing information and nursing knowledge The current state of knowledge related to these phenomena suggests four implications for the development of systems to support nursing First, research has provided evidence that knowledge and experience is related to the quality of nursing assessment, diagnosis or clinical inference, and planning of nursing care, and also that knowledge is task‐specific Information technology can provide access to a variety of information resources, such as knowledge bases and decision support systems, to increase the level of knowledge of the nurse decision‐maker Second, structured patient assessment forms with linkages to knowledge bases of diagnoses have the potential to improve the quality of the patient assessment and the accuracy of the diagnosis or clinical inference Third, studies on planning care have demonstrated the complexity of the task when a number of options are potentially appropriate Model‐based decision support applications such as decision analysis and multi‐attribute utility theory can assist the clinicians and patients to analyse and compare the treatment alternatives in a systematic manner Fourth, there is modest support for demonstrating the relationship between the process and outcomes of clinical decision making Large databases built upon nursing data are needed to further examine this relationship

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