Literature DB >> 18438151

Clinical decision support systems in nursing: synthesis of the science for evidence-based practice.

Jane A Anderson1, Pamela Willson.   

Abstract

The aim of this article is to present a synthesis of the research literature on the state of nursing science regarding the development, use, and application of clinical decision support systems for the implementation of evidence-based practice in nursing. The authors sought to answer three specific questions in this metasynthesis: (1) What progress has nursing science made regarding the development and use of clinical decision support systems?; (2) What research methods and theoretical models are being applied by nurse researchers in this area?; and (3)Are there evidence-adaptive clinical decision support systems designed specifically to aid nurses' decisions related to evidence-based practice? Of 183 articles, 17 were included in the final analysis, and six were specific for clinical decision support systems to aid nurses in evidence-based practice. Implications for practice are considered, and recommendations for future research are made.

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Mesh:

Year:  2008        PMID: 18438151     DOI: 10.1097/01.NCN.0000304783.72811.8e

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  12 in total

1.  Analysis of Nursing Clinical Decision Support Requests and Strategic Plan in a Large Academic Health System.

Authors:  Kimberly Whalen; Karen Bavuso; Sharon Bouyer-Ferullo; Denise Goldsmith; Amanda Fairbanks; Emily Gesner; Charles Lagor; Sarah Collins
Journal:  Appl Clin Inform       Date:  2016-04-13       Impact factor: 2.342

2.  Modeling a Nursing Guideline with Standard Terminology and Unified Modeling Language for a Nursing Decision Support System: A Case Study.

Authors:  Jeeyae Choi; Kay Jansen; Amy Coenen
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

3.  Home health nurse decision-making regarding visit intensity planning for newly admitted patients: a qualitative descriptive study.

Authors:  Elliane Irani; Karen B Hirschman; Pamela Z Cacchione; Kathryn H Bowles
Journal:  Home Health Care Serv Q       Date:  2018-04-13

4.  Acceptability of Clinical Decision Support Interface Prototypes for a Nursing Electronic Health Record to Facilitate Supportive Care Outcomes.

Authors:  Janet Stifter; Vanessa E C Sousa; Alessandro Febretti; Karen Dunn Lopez; Andrew Johnson; Yingwei Yao; Gail M Keenan; Diana J Wilkie
Journal:  Int J Nurs Knowl       Date:  2017-09-19       Impact factor: 1.222

5.  Electronic medical records, nurse staffing, and nurse-sensitive patient outcomes: evidence from California hospitals, 1998-2007.

Authors:  Michael F Furukawa; T S Raghu; Benjamin B M Shao
Journal:  Health Serv Res       Date:  2010-04-09       Impact factor: 3.402

Review 6.  Informatics Solutions for Application of Decision-Making Skills.

Authors:  Christine W Nibbelink; Janay R Young; Jane M Carrington; Barbara B Brewer
Journal:  Crit Care Nurs Clin North Am       Date:  2018-04-04       Impact factor: 1.326

7.  An evaluation of the usability of a computerized decision support system for nursing homes.

Authors:  M Fossum; M Ehnfors; A Fruhling; A Ehrenberg
Journal:  Appl Clin Inform       Date:  2011-10-19       Impact factor: 2.342

8.  Advancing beyond the system: telemedicine nurses' clinical reasoning using a computerised decision support system for patients with COPD - an ethnographic study.

Authors:  Tina Lien Barken; Elin Thygesen; Ulrika Söderhamn
Journal:  BMC Med Inform Decis Mak       Date:  2017-12-28       Impact factor: 2.796

9.  Factors of accepting pain management decision support systems by nurse anesthetists.

Authors:  Ju-Ling Hsiao; Wen-Chu Wu; Rai-Fu Chen
Journal:  BMC Med Inform Decis Mak       Date:  2013-01-29       Impact factor: 2.796

10.  Effects of computer reminders on complications of peripheral venous catheters and nurses' adherence to a guideline in paediatric care--a cluster randomised study.

Authors:  Ulrika Förberg; Maria Unbeck; Lars Wallin; Eva Johansson; Max Petzold; Britt-Marie Ygge; Anna Ehrenberg
Journal:  Implement Sci       Date:  2016-01-27       Impact factor: 7.327

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