Implications for nursing research and generation of evidence

Suzanne Bakken, Robert Lucero, Sunmoo Yoon, Nicholas Hardiker

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A sound informatics infrastructure is essential to optimise the application of evidence in nursing practice. A comprehensive review of the infrastructure and associated research methods is supported by an extensive resource of references to point the interested reader to further resources for more in depth study. Information and communication technology (ICT) has been recognized as a fundamental component of applying evidence to practice for several decades. Although the role of ICT in generating knowledge from practice was formally identified as a nursing informatics research priority in the early 1990s (NINR Priority Expert Panel on Nursing Informatics, 1993), it has received heightened interest recently. In this chapter, the authors summarize some important trends in research that motivate increased attention to practice-based generation of evidence. These include an increased emphasis on interdisciplinary, translational, and comparative effectiveness research; novel research designs; frameworks and models that inform generation of evidence from practice; and creation of data sets that include not only variables related to biological and genetic measures, but also social and behavioral variables. The chapter also includes an overview of the ICT infrastructure and informatics processes required to facilitate generation of evidence from practice and across research studies: (1) information structures (e.g., re-usable concept representations, tailored templates for data acquisition), (2) processes (e.g., data mining algorithms, natural language processing), and (3) technologies (e.g., data repositories, visualization tools that optimize cognitive support). In addition, the authors identify key knowledge gaps related to informatics support for nursing research and generation of evidence from practice.
LanguageEnglish
Title of host publicationData Mining
Subtitle of host publicationConcepts, Methodologies, Tools, and Applications
PublisherIGI Global
Pages1082-1096
Number of pages15
ISBN (Print)9781466624559
DOIs
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Nursing Research
Informatics
Nursing Informatics
Technology
Research
National Institute of Nursing Research (U.S.)
Comparative Effectiveness Research
Natural Language Processing
Data Mining
Evidence-Based Practice
Nursing
Research Design

Cite this

Bakken, S., Lucero, R., Yoon, S., & Hardiker, N. (2013). Implications for nursing research and generation of evidence. In Data Mining: Concepts, Methodologies, Tools, and Applications (pp. 1082-1096). IGI Global. https://doi.org/10.4018/978-1-4666-2455-9.ch055
Bakken, Suzanne ; Lucero, Robert ; Yoon, Sunmoo ; Hardiker, Nicholas. / Implications for nursing research and generation of evidence. Data Mining: Concepts, Methodologies, Tools, and Applications. IGI Global, 2013. pp. 1082-1096
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Bakken, S, Lucero, R, Yoon, S & Hardiker, N 2013, Implications for nursing research and generation of evidence. in Data Mining: Concepts, Methodologies, Tools, and Applications. IGI Global, pp. 1082-1096. https://doi.org/10.4018/978-1-4666-2455-9.ch055

Implications for nursing research and generation of evidence. / Bakken, Suzanne; Lucero, Robert; Yoon, Sunmoo; Hardiker, Nicholas.

Data Mining: Concepts, Methodologies, Tools, and Applications. IGI Global, 2013. p. 1082-1096.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Bakken S, Lucero R, Yoon S, Hardiker N. Implications for nursing research and generation of evidence. In Data Mining: Concepts, Methodologies, Tools, and Applications. IGI Global. 2013. p. 1082-1096 https://doi.org/10.4018/978-1-4666-2455-9.ch055