Data, Knowledge, Information and Wisdom Continuum Essay

1256 Words May 1st, 2013 6 Pages
The Data/Information/Knowledge/Wisdom Continuum

The Data/Information/Knowledge/Wisdom Continuum Data, information, and knowledge are words used to assign meaning to our complex nursing work. In the field of information technology, these words are used to give meaning and direct the flow of organizational knowledge (Thompson & Warren, 2009).
The concept of the data-information-knowledge-wisdom (DIKW) continuum is the transformation of data into wisdom through cognitive processes, which are supportive of the nursing practice. Schleyer and Beaudry (2009) discussed how nurses in this growing specialty are accountable to provide the best evidence-based care advice possible, transform the data collected to information, and apply that
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Database Resources Ackoff (1989) proposed that data are defined as symbols that represent properties of objects, events and their environment. They are the products of observation, and are of no use until they are in a useable (i.e. relevant) form (as cited in Rowley, 2007). For this paper, the Walden Library Health Science and Nursing Databases were utilized to conduct a search for data related to the clinical question “has implementing the use of the electronic medication administration (eMAR) improved the safety of medication administration in the hospital setting?” The databases for CINHAL/Medline and PUBMED were queried by using the search words eMAR, bar code technology, medication administration, and safety. The search generated four complete articles in the CINHAL/Medline databases that were pertinent to the topic. Another four sources were generated in the PUBMED database, of which one was a free text article, the other three sources were abstracts; however, two of those sources were successfully retrieved from Google Scholar (find in Walden Library). Although, no full text was available for one of the abstracts found for this source in the search, the information within the abstract was deemed relevant.
Transforming Data into Information Information is inferred from data (Rowley, 2007). Upon evaluating the plethora of data from said resources, it was determined that a substantial

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