| Course | NUR 521 Health Care Evidence, Informatics and Analysis |
|---|---|
| Module | Module 5 |
| Paper type | Discussion post with peer reply |
| Length | About 480 words |
| Format | Discussion post with APA 7 citations |
| School | Arizona State University |
| Program | MS in Nursing |
| Updated | October 2026 |
Free sample paper for NUR 521 Module 5
Discussion Board: CPOE, the Electronic Record and Alerts
Every Daily Pill at 0900: A Human Factors Look at Order Entry Defaults, Alerts and the Nurse at the End of the Order
Initial Post
While looking into late medication doses on my medical unit, I found a cause I had not expected: the order entry system itself. When a provider orders a once-daily medication, the system defaults its first scheduled time to 0900 unless someone changes it. On a typical morning, that default places most of a patient's daily medications, along with insulin checks, antibiotics and new admission orders, into a single hour. The nurse at the end of the order pays for the default.
This is a human factors problem. Human factors engineering studies how the design of tools and tasks fits the people who use them. A default is a design choice, and people rarely change defaults, so the system effectively decides the unit's workload. Spreading daily medications across the morning, with pharmacy and nursing input, would be a design fix rather than a training fix.
Order entry has clear strengths. It removes illegible handwriting, checks doses and allergies at the moment of ordering, and sends orders instantly to pharmacy. In a landmark study, physician order entry was associated with a 55% drop in serious medication errors that were not intercepted before reaching patients (Bates et al., 1998).
It also has weaknesses. A study of one widely used system found it facilitated 22 types of medication error risks, including fragmented displays that kept clinicians from seeing all of a patient's medications at once and inventory screens that users mistook for dosing guidance (Koppel et al., 2005). Pick lists that place similar drug names side by side make wrong selections easy.
Alerts show the same tension. Over three years at one 793-bed teaching hospital, 73.3% of medication alerts for allergies, drug interactions and duplicate drugs were overridden, and 40% of overrides were judged inappropriate (Nanji et al., 2018). When most alerts are not useful, clinicians learn to dismiss all of them, including the ones that matter. Nurses see this on the electronic record too, where barcode scanning warnings and reminder flags compete for attention.
Human factors principles suggest fixes: fewer, better-targeted alerts; tiered alerts where only high-risk warnings interrupt; displays that show all active medications on one screen; and defaults set to support safe work. Nurses belong in these design decisions, because many order entry choices land on nursing workflow.
Reply to a Classmate
Teodoro, you made a case for hard stops, alerts that cannot be overridden, across more of the record. I agree for a few situations, such as a dose ten times the maximum. But a hard stop that fires in a legitimate case can delay urgent treatment, which is why most organizations use them sparingly. How would your unit decide which alerts deserve a hard stop, and who would review them when they block care?
References
Bates, D. W., Leape, L. L., Cullen, D. J., Laird, N., Petersen, L. A., Teich, J. M., Burdick, E., Hickey, M., Kleefield, S., Shea, B., Vander Vliet, M., & Seger, D. L. (1998). Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA, 280(15), 1311-1316. https://doi.org/10.1001/jama.280.15.1311
Koppel, R., Metlay, J. P., Cohen, A., Abaluck, B., Localio, A. R., Kimmel, S. E., & Strom, B. L. (2005). Role of computerized physician order entry systems in facilitating medication errors. JAMA, 293(10), 1197-1203. https://doi.org/10.1001/jama.293.10.1197
Nanji, K. C., Seger, D. L., Slight, S. P., Amato, M. G., Beeler, P. E., Her, Q. L., Dalleur, O., Eguale, T., Wong, A., Silvers, E. R., Swerdloff, M., Hussain, S. T., Maniam, N., Fiskio, J. M., Dykes, P. C., & Bates, D. W. (2018). Medication-related clinical decision support alert overrides in inpatients. Journal of the American Medical Informatics Association, 25(5), 476-481. https://doi.org/10.1093/jamia/ocx115
What the NUR 521 Module 5 instructions ask for
The posted syllabus sets Week 5 on information technology strategies in patient care delivery, including selected concepts from human factors engineering, and names computerized provider order entry, the electronic medical record and alerts as the tools to examine for strengths and weaknesses. The week's grade comes from a board post and peer response. Plan to explain how these tools affect care where you work, apply human factors ideas, weigh benefits against risks with evidence and reply to a classmate. Your Canvas shell will show the word count, due days and the number of replies required. Reading the week's assigned articles before you post helps, because faculty often expect at least one of them to appear in your citations.
Inside the NUR 521 Module 5 example
The post starts with one concrete finding from the writer's unit, a default administration time that crowds the morning medication pass, and names it as a design problem. It defines human factors engineering in plain terms and explains why defaults matter. Separate paragraphs give the strengths of order entry with a landmark study, its weaknesses with a study of error risks it created, and the override problem with recent alert data. A closing paragraph lists design fixes and argues for nurse involvement. The reply weighs a classmate's call for more hard stops and asks a practical question. Each claim about a tool's effect is tied to a named study and a figure, so the reader can check the evidence rather than take the writer's impression on trust.
Reading the NUR 521 Module 5 grading rubric
This board is generally graded on accurate use of informatics and human factors concepts, a balanced account of strengths and weaknesses supported by evidence, a link to the writer's own practice, and a substantive peer reply, along with APA citations and timeliness. Faculty look for posts that explain why a tool causes a problem rather than only that it does. Linking a design feature such as a default or an alert threshold to a safety outcome shows graduate-level analysis. Replies that test a classmate's claim with a realistic case usually earn full engagement points. Posts that propose a realistic design change, and say who would need to approve it, tend to stand out from posts that only describe the problem.
NUR 521 Module 5 help: mistakes that cost marks
The most common weakness is listing benefits and drawbacks of electronic records without any example from practice. Start with one thing you have seen. Another is treating alert fatigue as a matter of clinician discipline; the evidence points to design. Use specific numbers from studies, cited correctly, and avoid old statistics presented as current. Do not name vendors in a way that reads as a complaint, and keep patient details out. If you want help connecting a technology problem on your unit to human factors concepts, send the discussion prompt to the desk. Keep the initial post focused on one or two tools rather than surveying every feature of the electronic record, which leaves no room for analysis.
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 Arizona 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 521 Module 5 questions, answered
Where can I find a free NUR 521 Module 5 sample paper?
The CPOE and alerts discussion appears above in full: an order entry default that crowds the 0900 medication pass, strengths and weaknesses of order entry, alert override data, design fixes, a reply and references.
What is human factors engineering in nursing informatics?
The study of how tools, tasks and environments fit the people who use them, applied to design technology that makes safe work easier.
What are the strengths and weaknesses of CPOE?
It removes illegible orders and checks doses and allergies, but poor displays, pick lists and defaults can create new kinds of errors.
Why are most medication alerts overridden?
Many alerts fire for low-risk situations, so clinicians learn to dismiss them; one study found nearly three quarters overridden.
How can nurses reduce alert fatigue?
By joining design reviews that remove low-value alerts, tier alerts by risk and set defaults that support safe workflow.