NUR 633 Module 10 Journal Example

Reviewed by Delia Ravenscroft, MSN, RN

This NUR 633 Module 10 Journal sample closes the informatics course with a nurse rethinking where she stands in relation to the technology she uses every shift. It is the final journal for SNHU NUR 633, Informatics and Communication Technology, entered in the SNHU MSN catalog as NUR-633. Its writer, a composite telemetry nurse, began the term describing herself as "not a computer person" and assuming informatics belonged to the IT department. The entry follows three assignments that changed her mind: counting her own alarms for a shift, matching fall times against nurse call logs to find a pattern no single report showed and calculating how often a sepsis alert would be right. Drawing on research about documentation time, decision support design and an external model validation, she concludes that nurses belong in technology decisions because they see the consequences first. Two commitments for her next role close the entry.

CourseNUR 633 Informatics and Communication Technology
ModuleModule 10
Paper typeClosing reflective journal on nursing informatics
LengthAbout 380 words, 3 pages
FormatJournal entry with APA 7 citations
SchoolSouthern New Hampshire University
ProgramMSN
UpdatedSeptember 2026

Free sample paper for NUR 633 Module 10

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Module Ten Journal

I Was Never Not a Computer Person

In the first week I introduced myself as "not a computer person." I meant that I did not write code and did not understand the servers behind our monitors. By the end of this course I realized that I have been an informatics worker for years, generating and acting on data every shift, and that leaving technology decisions to others had been a choice, not a limitation.

The alarm tally started the change. Counting 214 alarms in a day and seeing that fewer than 20 needed me showed me that alarm fatigue is built into how systems are configured, and that nurses hold the knowledge needed to reconfigure them. The documentation assignment made the same point about the record. When I read that medical-surgical nurses in a large study spent over a third of their practice time documenting (Hendrich et al., 2008), I stopped thinking of charting burden as a personal failure to be efficient and started asking which fields anyone uses.

What this page is doingThe entry opens with the writer's starting self-description and uses two early assignments, grounded in research, to show how her view began to change.
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The falls project was where I learned to use data rather than just produce it. Neither the incident reports nor the nurse call logs showed much alone; matched by time, they showed that nearly half of the falls followed an unanswered call or alarm. That pattern pointed away from more alarms and toward getting the right information to the right person, which is what the successful trials had done.

The sepsis model assignment made me more skeptical, in a good way. Working out that an alert firing for almost one patient in five, while missing two thirds of sepsis cases, would be right only about one time in eight (Wong et al., 2021) changed how I will react to any new alert. The decision support review taught me what to ask for instead: support that arrives within the workflow, at the moment of decision, with a recommendation attached (Kawamoto et al., 2005).

I will carry two commitments into my next role. I will volunteer for technology committees, because nurses see the consequences of design first. And before any new alert or field reaches my unit, I will ask how often it will be right and what it will ask nurses to stop doing to make room for it.

What this page is doingThe second part traces two later assignments, shows the writer applying data and appraisal skills and ends with two specific commitments.
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References

Hendrich, A., Chow, M. P., Skierczynski, B. A., & Lu, Z. (2008). A 36-hospital time and motion study: How do medical-surgical nurses spend their time? The Permanente Journal, 12(3), 25-34. https://doi.org/10.7812/TPP/08-021

Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005). Improving clinical practice using clinical decision support systems: A systematic review of trials to identify features critical to success. BMJ, 330(7494), 765-768. https://doi.org/10.1136/bmj.38398.500764.8F

Wong, A., Otles, E., Donnelly, J. P., Krumm, A., McCullough, J., DeTroyer-Cooley, O., Pestrue, J., Phillips, M., Konye, J., Penoza, C., Ghous, M., & Singh, K. (2021). External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients. JAMA Internal Medicine, 181(8), 1065-1070. https://doi.org/10.1001/jamainternmed.2021.2626

What the NUR 633 Module 10 instructions ask for

NUR 633 ends with a journal about identity and role: how did the term change the way you see yourself in relation to technology and data, and what will you do with that as an advanced practice nurse or leader? Prompts may point to informatics competencies or to the TIGER or ANA informatics standards. A personal entry of roughly 400 to 700 words is typical, and one or two APA 7 citations are frequently expected. Tie each change in your thinking to a specific assignment, such as an analysis that surprised you, show what you believed before and after and finish with commitments concrete enough to check later, since the entry is graded on depth of insight and practical application.

How this NUR 633 Module 10 journal example is built

Here a composite telemetry nurse who called herself not a computer person traces her change across four assignments. Counting her own alarms showed that alarm fatigue is a configuration problem nurses can help fix, and the Hendrich time and motion study reframed documentation burden. Matching fall times to call logs taught her to use data rather than only produce it. Calculating that a sepsis alert would be right about one time in eight, from the Wong validation, made her skeptical in a useful way, and the Kawamoto review told her what good decision support looks like. She closes by committing to join technology committees and to question every new alert.

Where the NUR 633 Module 10 rubric puts the points

NUR 633 journals are typically marked on the insight the writer shows into their own change, how firmly each lesson is anchored in course work, relevance to the nurse's role in informatics, sources and writing. The strongest entries show a clear before and after, tied to specific analyses rather than general impressions. Graders appreciate candor about an earlier stance, such as avoiding technology, because it makes the change believable. Specific commitments for practice show application. Focusing on a few lessons in depth usually produces a stronger reflection than touching every module briefly, which instructors tend to read as a course summary rather than a reflection.

NUR 633 Module 10 help: the mistakes that cost points

Informatics reflections lose marks when they list topics, claim new confidence without showing what produced it, omit citations or end with intentions like embracing technology that no one could observe. State where you began, point to the analysis that unsettled that view, cite research that explains why it matters and say what you will now do differently, in terms a colleague could notice. Keep the tone personal and professional and stay within the length. If the prompt asks you to address specific informatics competencies or standards, include it in your request along with short notes on the work that shaped you, and the entry will draw on your own semester and the role you are preparing for.

Get NUR 633 Module 10 written to your instructions

Share the journal prompt, any competencies or standards it names and a line or two about the analyses that changed your view. Within 24 to 48 hours you will have an entry in your own voice, rooted in those assignments and backed by research, with no charge for the first. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.

More NUR 633 papers and related MSN samples

NUR 633 Module 10 questions, answered

Where can I find a free NUR 633 Module 10 Journal sample?

A full closing journal is posted on this page: a telemetry nurse reflects on alarms, falls data and a sepsis model and on why nurses belong in technology decisions.

What should a nursing informatics reflection include?

Your starting view of technology, specific assignments that changed it, the lessons linked to sources and concrete commitments for how you will act in practice or leadership.

Why should nurses join technology decisions?

Nurses use alerts, documentation tools and devices constantly and see their effects on patients and workflow first, so their input improves design and adoption.

How often was the sepsis alert right in the external validation?

Based on the published figures, alerts fired for 18% of patients while catching about a third of sepsis cases, which works out to roughly one correct alert in eight.

How long is the NUR 633 closing journal?

Usually around 400 to 700 words, though your section's prompt sets the exact length and any citation requirements.