The ACW Project: A Conceptual Model for Advancing Evidence-Based Nursing Practice through Technology

2.50
Hdl Handle:
http://hdl.handle.net/10755/147621
Type:
Presentation
Title:
The ACW Project: A Conceptual Model for Advancing Evidence-Based Nursing Practice through Technology
Abstract:
The ACW Project: A Conceptual Model for Advancing Evidence-Based Nursing Practice through Technology
Conference Sponsor:Sigma Theta Tau International
Conference Year:2009
Author:Lang, Norma M., PhD, RN, FAAN, FRCN
P.I. Institution Name:University of Wisconsin-Milwaukee
Title:Wisconsin Distinguished Professor and Aurora Professor of Healthcare Quality and Informatics
[Symposia: Clinical Session Presentation] The impact of nursing practice has been relatively invisible in the healthcare system to date.  The Knowledge-based Nursing Initiative is built on a conceptual framework that identifies key nursing phenomena, retrieves and synthesizes the best nursing knowledge available from multiple sources for nursing diagnosis and interventions.  The model then identifies evidence-based ?actionable? nursing interventions and builds this knowledge into nursing clinical decision support as a part of an electronic health record.  The model also defines the need for the use of systematically coded nursing language in clinical documentation so as to enable ready retrieval of nursing practice data so as to study the relationships between nursing practice data and client descriptor and outcome data.  The model and exemplar nursing phenomena will be explained.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleThe ACW Project: A Conceptual Model for Advancing Evidence-Based Nursing Practice through Technologyen_GB
dc.identifier.urihttp://hdl.handle.net/10755/147621-
dc.description.abstract<table><tr><td colspan="2" class="item-title">The ACW Project: A Conceptual Model for Advancing Evidence-Based Nursing Practice through Technology</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2009</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Lang, Norma M., PhD, RN, FAAN, FRCN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Wisconsin-Milwaukee</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Wisconsin Distinguished Professor and Aurora Professor of Healthcare Quality and Informatics</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">nlang@uwm.edu</td></tr><tr><td colspan="2" class="item-abstract">[Symposia: Clinical Session Presentation] The impact of nursing practice has been relatively invisible in the healthcare system to date.&nbsp; The Knowledge-based Nursing Initiative is built on a conceptual framework that identifies key nursing phenomena, retrieves and synthesizes the best nursing knowledge available from multiple sources for nursing diagnosis and interventions.&nbsp; The model then identifies evidence-based ?actionable? nursing interventions and builds this knowledge into nursing clinical decision support as a part of an electronic health record.&nbsp; The model also defines the need for the use of systematically coded nursing language in clinical documentation so as to enable ready retrieval of nursing practice data so as to study the relationships between nursing practice data and client descriptor and outcome data.&nbsp; The model and exemplar nursing phenomena will be explained.</td></tr></table>en_GB
dc.date.available2011-10-26T09:34:23Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T09:34:23Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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