How Data Becomes Knowledge and Finally Wisdom
How does data become knowledge and finally wisdom? Explain the relationship between knowledge acquisition, knowledge processing, knowledge generation, knowledge dissemination, and wisdom. Then provide examples from your clinical practice (or past work experiences) according to the following:
The process of converting data to knowledge and finally to wisdom is a process for each of us and is how we learn. Data is raw material that by itself has no meaning. For instance the number 100.2 doesn’t have special meaning by itself. It is not until that data can be organized or structured that it becomes information. So, if the 100.2 is an oral temperature and we know the relationship between that number and 98.6 that is considered normal…now the 100.2 has meaning. The patient has a fever. We take bits of information and formalize relationships and eventually information becomes knowledge. The 100.2 temp is factored in with a productive cough and we suspect a patient has bronchitis. Once we are able to are able to use that knowledge to manage specific situations, it becomes wisdom (McGonigle & Mastrian, 2018). In this discussion, I would like you to consider this process, and then provide some examples of how it has worked for you!
Specifically address:
- Examples of knowledge acquisition
- Examples of knowledge generation
- Examples of knowledge processing
- Examples of knowledge dissemination
- Examples of the use of feedback
What if there is a barrier to the process? Does that impact your ability to gain wisdom?
References
- McGonigle, D. & Mastrian, K. (2018). Nursing informatics and the foundation of knowledge (4th ed.). Jones and Bartlett Learn
Analyze data from all relevant sources, including technology, to inform the delivery of care.
- CO 3: Define standardized terminology that reflects nursing’s unique contribution to patient outcomes.
- CO 4: Investigate safeguards and decision-making support tools embedded in patient care technologies and information systems to support a safe practice environment for both patients and healthcare workers.
- CO 5: Identify patient care technologies, information systems, and communication devices that support safe nursing practice.
- CO 6: Discuss the principles of data integrity, professional ethics, and legal requirements related to data security, regulatory requirements, confidentiality, and client’s right to privacy.
- CO 7: Examine the use of information systems to document interventions related to achieving nurse-sensitive outcomes.
- CO 8: Discuss the value of best evidence as a driving force to institute change in delivery of nursing care.
Remember to provide at least two substantive posts in the discussion (approximately 200-250 words).