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A proposed expert system for nursing practice

dc.contributor.authorAbraham, Ivo L.en_US
dc.contributor.authorSwain, Mary Ann P.en_US
dc.contributor.authorOzbolt, Judy G.en_US
dc.contributor.authorSchultz, Samuelen_US
dc.date.accessioned2006-09-11T15:33:12Z
dc.date.available2006-09-11T15:33:12Z
dc.date.issued1985-04en_US
dc.identifier.citationOzbolt, Judy G.; Schultz, Samuel; Swain, Mary Ann; Abraham, Ivo L.; (1985). "A proposed expert system for nursing practice." Journal of Medical Systems 9 (1-2): 57-68. <http://hdl.handle.net/2027.42/45001>en_US
dc.identifier.issn0148-5598en_US
dc.identifier.issn1573-689Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45001
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=3839835&dopt=citationen_US
dc.description.abstractThe knowledge on which nursing practice is based comes largely from traditional sources, expert nurses passing on the wisdom of their experience to novices. Nursing research, although increasing, is usually parallel to nursing practice, and its findings, at best, are implemented only after long delays. Consequently, the most effective nursing responses to a particular client problem may be undiscovered or unknown. Nursing information systems reflect the nature and usage of nursing knowledge. They offer standard care plans, but the knowledge and decision structures for individualizing care remain exclusively in the mind of the nurse. Nurses may have great freedom to enter information into the information system, but the information is rarely retrievable in a form suitable for evaluation or research. Nursing practice, and the knowledge on which it is based, could be enhanced through the use of a novel expert system. This paper describes how such a system could be developed, with examples from the authors' prototype programs. Taxonomies of data, diagnoses, objectives, and interventions would make it possible to compare patients and to determine the relative effectiveness of nursing interventions. A built-in evaluation component would provide feedback and correction. Everyday nursing practice would become a field for research, and the knowledge gained from research would immediately be fed back into practice. In its development and in its implementation, this kind of system would help to build nursing science.en_US
dc.format.extent900466 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherStatistics for Life Sciences, Medicine, Health Sciencesen_US
dc.subject.otherStatisticsen_US
dc.subject.otherHealth Informatics & Health Administrationen_US
dc.titleA proposed expert system for nursing practiceen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumFrom the Center for Nursing Research, The University of Michigan, 48109, Ann Arbor, Michigan; the School of Nursing, Case Western Reserve University, 44106, Cleveland, Ohioen_US
dc.contributor.affiliationumFrom the Center for Nursing Research, The University of Michigan, 48109, Ann Arbor, Michigan; the School of Nursing, Case Western Reserve University, 44106, Cleveland, Ohioen_US
dc.contributor.affiliationumFrom the Center for Nursing Research, The University of Michigan, 48109, Ann Arbor, Michigan; the School of Nursing, Case Western Reserve University, 44106, Cleveland, Ohioen_US
dc.contributor.affiliationumFrom the Center for Nursing Research, The University of Michigan, 48109, Ann Arbor, Michigan; the School of Nursing, Case Western Reserve University, 44106, Cleveland, Ohioen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid3839835en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45001/1/10916_2004_Article_BF00992522.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00992522en_US
dc.identifier.sourceJournal of Medical Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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