| Course | NUR-7010 Nursing Informatics Databases and Knowledge Management |
|---|---|
| Module | Module 1 |
| Paper type | Informatics paper: data, information, knowledge and wisdom |
| Length | About 1,012 words, 6 pages |
| Format | APA 7 student paper |
| School | Thomas Edison State University |
| Program | M.S. in Nursing, Nursing Informatics |
| Updated | October 2026 |
Free sample paper for NUR 7010 Module 1
Charted Everywhere, Known Nowhere: Using the DIKW Framework to Answer a Pain Reassessment Question in Red Bank
Student Name
M.S. in Nursing, Nursing Informatics, Thomas Edison State University
NUR-7010: Nursing Informatics: Databases and Knowledge Management
Mentor Name
Month Day, Year
Charted Everywhere, Known Nowhere: Using the DIKW Framework to Answer a Pain Reassessment Question in Red Bank
A Question Nobody Could Answer
The hospital and its numbers belong to an invented example. Nurses on the medical and surgical units of a 300-bed hospital in Red Bank document roughly 600 data points per patient per day in the electronic health record, including pain scores every four hours and with every as-needed opioid dose. At a pain management committee meeting, a pharmacist asked a plain question: after a nurse gives an opioid for pain, how often is the pain reassessed within an hour? Nobody knew. The record held every pain score and every dose, yet no report connected them. The committee asked the hospital's informatics nurse to find the answer and to explain why the hospital had so much data and so little knowledge.
She chose to frame the work with the data-information-knowledge-wisdom framework, because the problem was not missing data but missing steps between data and action.
Where the Framework Came From
Graves and Corcoran (1989) offered one of the first definitions of nursing informatics: a blend of three sciences, computer, information and nursing, put to work handling the data, information and knowledge that nursing practice and patient care depend on. In their model, data are discrete entities described objectively without interpretation, information is data that has been interpreted, organized or structured, and knowledge is information pulled together until the relationships within it are named and made formal. The definition placed the nurse's handling of data at the center of the specialty.
Matney et al. (2011) examined the addition of wisdom to the framework, which the profession's scope and standards had adopted. In their reading, wisdom is knowing when and how to use what one knows to help a particular person with a particular problem. They explored philosophical roots of wisdom and argued that it involves judgment, values and experience that go beyond knowledge alone, and that informatics nurses should support wisdom rather than try to automate it.
A Critique Worth Keeping
Ronquillo et al. (2016) traced how the framework evolved within nursing informatics and examined its limits. They noted that DIKW is often drawn as a pyramid or ladder, implying that each level is built neatly on the one below, when in practice the levels interact: what counts as data depends on what a nurse already knows, and knowledge shapes which data are collected in the first place. They encouraged informatics nurses to use the framework as a way of thinking rather than as a rigid hierarchy and to pay attention to context and to the people doing the interpreting.
The critique proved useful in Red Bank. The data on pain were collected in a form shaped by what the hospital already believed: scores were charted on a schedule, not linked to doses, because the original flowsheet design assumed that reassessment would happen at the next scheduled check.
Climbing the Framework
Moving from data to information took most of the work. The informatics nurse asked the report writer to match each as-needed opioid dose to the first pain score charted afterward and calculate the gap. Three problems appeared. Some scores were charted as "patient sleeping," which the record stored as a missing value. Doses given just before a scheduled assessment were sometimes followed by the scheduled score, which counted as a reassessment even if the nurse had not intended it as one. And the record stored the time a score was documented, not the time the patient was assessed.
Moving from information to knowledge meant asking what the pattern meant. Reassessment within an hour followed 46 percent of doses overall: 58 percent on day shift and 31 percent at night, and less often after oral doses, whose peak effect comes later than intravenous doses. Nurses interviewed on night shift explained that waking a patient who had fallen asleep after a dose felt wrong, and that the flowsheet gave them no way to record that the patient was asleep and comfortable.
Moving from knowledge to wisdom meant deciding what to do, with judgment about patients rather than only about compliance. The committee did not simply demand reassessment within an hour. With nurses, it agreed that intravenous doses would be reassessed at 30 minutes and oral doses at 60, that "asleep, breathing comfortably" with a sedation score would count as a valid reassessment and that the record would prompt reassessment after each dose instead of waiting for the schedule.
| Level | Pain reassessment example |
|---|---|
| Data | 41,200 pain scores and 9,800 as-needed opioid doses on four units over three months |
| Information | Each dose linked to the next pain score; time between them calculated |
| Knowledge | Reassessment within 60 minutes after 46 percent of doses; lowest on night shift and after oral doses |
| Wisdom | Decision to redesign reassessment around the dose, not the clock, with nurses' input on when reassessment matters most |
The Informatics Nurse's Part
At each level, the informatics nurse had a different job. At the data level, she understood how the flowsheet stored values and times. At the information level, she worked with the report writer to link records correctly. At the knowledge level, she brought the pattern to nurses and pharmacists who could explain it. At the wisdom level, she made sure that the people deciding were clinicians who understood patients, not only the people who understood the database.
Limits
Documentation time is not assessment time, so the analysis may undercount prompt reassessments. Three months of data from four units may not represent the hospital. The framework itself, as the critique notes, can make the process look more orderly than it was.
Conclusion
The hospital had data and lacked knowledge because nothing linked a dose to the pain score that followed it. Graves and Corcoran's definition placed that linking at the heart of nursing informatics, the wisdom layer reminded the team that the final step is judgment about patients and the critique of DIKW explained why the data had been shaped by old assumptions. Climbing the framework produced an answer and a better design.
References
Graves, J. R., & Corcoran, S. (1989). The study of nursing informatics. Image: The Journal of Nursing Scholarship, 21(4), 227-231. https://doi.org/10.1111/j.1547-5069.1989.tb00148.x
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. https://doi.org/10.1097/ANS.0b013e3182071813
Ronquillo, C., Currie, L. M., & Rodney, P. (2016). The evolution of data-information-knowledge-wisdom in nursing informatics. Advances in Nursing Science, 39(1), E1-E18. https://doi.org/10.1097/ANS.0000000000000107
Reading the NUR 7010 Module 1 assignment instructions
How data become information, knowledge and finally wisdom is the first topic in TESU's catalog paragraph for NUR-7010, and with the course syllabus closed to outsiders, module one is planned as a DIKW paper built on a real question. Your paper should explain the framework and its origins accurately, acknowledge at least one critique of it, choose a nursing practice question that the organization's data could answer, show the work at each level with concrete content and end with a decision that reflects clinical judgment as well as data. Some sections ask for a concept analysis of one level, such as knowledge, or for a personal reflection on DIKW in the writer's practice instead. Check whether the brief allows invented data, how it should be labeled and whether a figure of the framework is expected in addition to the text.
How this NUR 7010 Module 1 example is built
The paper begins with a pharmacist's question at an invented Red Bank hospital that its 600 daily data points per patient could not answer. Graves and Corcoran's definition and the later addition of wisdom are explained, and a critique of DIKW as a rigid ladder explains how old assumptions shaped the data. A four-row table climbs from 41,200 pain scores to a redesign decision. The text describes the linking problems at the information level, the night shift pattern at the knowledge level and the committee's judgment at the wisdom level. After a section on the informatics nurse's part at each level, the paper names its limits and closes. Annotations note the framework applied to real content.
Where the marks sit in the NUR 7010 Module 1 rubric
A DIKW paper scores well when the framework's origins and levels are explained accurately, a critique is acknowledged, the chosen question is answered with real or clearly labeled illustrative data and each level shows concrete work rather than a definition. Mentors notice when a writer describes the practical problems of linking data, such as missing values and documentation times. Treating wisdom as clinical judgment exercised with patients, rather than as more data, shows understanding of the framework's purpose. Describing the informatics nurse's role at each level ties the theory to the specialty. Citations of the foundational and later sources complete the paper.
NUR 7010 Module 1 help from the desk
DIKW papers often define the four levels and give a one-line example of each; work through a real question instead. Another common problem is treating the framework as a ladder that runs only upward, ignoring how knowledge shapes what data are collected. Describe the technical steps that turned data into information. Bring the pattern to clinicians before deciding what it means. End with a decision that reflects judgment about patients. Need a start on your own unit's question? The desk writes that first draft free; Red Bank is the benchmark for depth.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Thomas Edison State University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
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NUR 7010 Module 1 questions, answered
Where can I find a free NUR 7010 Module 1 sample paper?
This page carries the complete DIKW paper for an invented Red Bank hospital, which climbs from 41,200 pain scores to a reassessment redesign.
How did Graves and Corcoran define nursing informatics?
They joined computer, information and nursing science into one field whose job is handling nursing's data, information and knowledge in the service of care.
What does wisdom add to the DIKW framework?
Judgment: the skill of applying knowledge well to a real person's problem, deciding when and how it fits.
What is a common critique of the DIKW framework?
That drawing it as a ladder hides how the levels interact, since existing knowledge shapes which data are collected.
Why is linking data the hardest step?
Separate records, such as doses and pain scores, must be matched by time and patient, and problems like missing values and documentation delays distort the result.