Data, Knowledge, Information and Wisdom Continuum

The entropy/Information/ noesis/sapience Continuum The Data/Information/Knowledge/Wisdom Continuum Data, learning, and friendship ar words used to assign heart and soul to our complex nurse work. In the field of education applied science, these words are used to give meaning and direct the flow of organizational knowledge (Thompson & Warren, 2009). The concept of the selective information-information-knowledge-wisdom (DIKW) continuum is the transformation of entropy into wisdom by means of cognitive processes, which are digestive of the nursing practice.Schleyer and Beaudry (2009) discussed how nurses in this growing specialty are accountable to provide the best evidence-based reverence advice possible, transform the data collected to information, and impart that knowledge with wisdom to send the patients unique needs. The purpose of this idea is to display the development through the foursome steps of the data, information, knowledge, wisdom continuum that occurs th rough research information to answer a clinical question pertinent to nursing in an acute care setting. Electronic Medication Administration in knifelike Care SettingImplementation of the electronic health record, computerized physicians localize entry and decision harbor systems within the health care industry have attributed to a hang in documentation and transcription errors, while making measurable improvements in our nations health care. The clinical research question for this paper is has implementing the use of the electronic medication administration (eMAR) improved the synthetic rubber of medication administration in the hospital setting? This engineering at bring out has not been implemented in our hospital organization, but go out be in the near future.Poon et al. (2010) explained that serious medication errors are common in hospitals and often occur during the transcription or administration of medication. In order to help prevent such errors, the development of engineering science has been instituted to verify medications by incorporating bar scratch verification technology within an electronic medication-administration system, which is referred to as bar code medication administration (BCMA). Database Resources Ackoff (1989) proposed that data are defined as symbols that exist 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 breast feeding 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 employ the search words eMAR, bar code technology, medication administration, and safety.The search generated four co mplete articles in the CINHAL/Medline databases that were pertinent to the topic. Another four sources were generated in the PUBMED database, of which unitary 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 ane of the abstracts found for this source in the search, the information within the abstract was deemed relevant. Transforming Data into InformationInformation is inferred from data (Rowley, 2007). Upon evaluating the plethora of data from said resources, it was determined that a comforting amount of relevant information could be extracted from this accumulation of data to advocate the clinical question in progress. In other words, said data would be considered information, as it had context to the reason the literature search was existence performed. Medication errors cause an estimated 7000 deaths each year and co st the nation $2 billion annually (Paoletti, Suess, Lesko, Feroli, Kennel, Mahler, & Sauders, 2007).A operative step-down of medication errors was evidenced by the use of bar code technology and the eMAR. A study funded by the Agency for Healthcare Research and Quality (Healthcare Benchmark & Quality Improvements, 2010) inform that by incorporating bar-code verification technology within an eMAR system, a signifi apprizet reduction in medication errors was demonstrated. Connecting Information to Knowledge According to (Thompson & Warren, 2009) knowledge occurs when we apply the data and information to obtain relevant and purposeful meaning.The transformation of information to knowledge occurs when information is combined so that connections can be identify and formalized if you will. Some manners used to achieve this transformation would be through comparison. How does this information compare to other known data? Example Were there fewer transcription and medication errors wit h the use of eMAR and bar code technology as opposed to paper documentation and administration? Another method would be through making associations or connections. Example How does the use of eMAR with bar-code technology relate to reduced transcription and medication errors?There was a significant amount of information gleaned from database resources that supported the conclusion, that implementation of such technology could greatly reduce transcription and medication administration errors, as well as adverse drug events, although it did not propose to eliminate such errors. Wisdom Pertaining to Knowledge Can the use of information technology be utilized to gain wisdom? Achieving wisdom via the application program of knowledge to manage and shape human problems is essential for health.Major (2002) discussed how wisdom involves recognizing what is most important, by making distinctions among alternatives. It comprises the application of experience, intelligence, creativity, and kn owledge, as mediated by values, toward the achievement of a common strong (as cited in Matney et al. 2011). It would be a reasonable assertion that clinicians and researchers may terminate that information and knowledge derived from this data will be accurate and can reliably support research, clinical nursing practice, and nursing decisions. SummaryIn that nurses are knowledge workers, it is only natural that they would require a fundamental knowledge to support their practice and profession. As knowledge workers, nurses collect data and information and fabricate decisions that affect individuals, families, and communities at large. An understanding of how the concepts of the data-information-knowledge-wisdom (DIKW) framework overlap and interact will beneficial for nurses performing research studies. Given that wisdom is supported by knowledge, different manifestations of wisdom may exist.Wisdom may be manifested in nursing through professional expertise(Baltez & Staudinger, 20 00) or clinical judgment (Benner, 2000), (as cited in Mateny et al. 2011). References Healthcare Benchmarks & Quality Improvements (2010). Bar-code/eMAR combo reduces errors. Healthcare Benchmarks & Quality improvements, 17(9), 100-102. Matney, S. , Brewster, P. J. , Sward, K. A. , Cloyes, K G. , & Staggers, N. (2011). philosophical approaches to the nursing informatics data-information-knowledge-wisdom framework.Advances in Nursing Science, 34(1), 6-18. inside 10. 1097/ANS. 0b013e3182071813 Paoletti, R. D. , Suess, T. M. , Lesko, M. G. , Feroli, A. A. , Kennel, J. A. , Mahler, J. M. & Sauders, T. (2007). Using bar-code technology and medication observation methodology for safer medication administration. American Journal of Health System Pharmacy, 64,(5), 536-543. Poon, E. G. , Keohane, C. A. , Yoon, C. S. , Ditmore, M. , Bane, A. , Levtzion-Korach, O. , Gahdhi, T. K. (2010). Effect of bar-code technology on the safety of medication administration.The refreshing England Journal o f Medicine, 362, 1698-1707. DOI 10. 1056/NEJMsa0907115 Rowley, J. (2007). The wisdom hierarchy Representations of the DIKW hierarchy. Journal of Information Science, 33(2), 163-180. DOI 10. 1177/0165551506070706 Schleyer, R. , & Beaudry, S. (2009). Data to wisdom Informatics in telephone triage nursing practice. AAACN Viewpoint, 31(5), 1, 10-3. Thompson, T. L. , & Warren, J. J. (2009). argon they all data? Understanding the work of organizational knowledge. Clinical concur Specialist, 23(4), 185-186. DOI 10. 1097/NUR. 0b013e3181aae374