| Course | NUR 633 Informatics and Communication Technology |
|---|---|
| Module | Module 1 |
| Paper type | Discussion post on alarm fatigue and technology design |
| Length | About 370 words, 3 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | MSN |
| Updated | September 2026 |
Free sample paper for NUR 633 Module 1
Module One Discussion
Two Hundred Fourteen Alarms and a Question About Design
Last week I kept a tally sheet in my pocket during a 12-hour day shift on our 32-bed medical-surgical unit. I counted 214 alarms that reached me or my patients: bed-exit alarms, infusion pump occlusion and completion alerts, telemetry leads-off messages and call lights. By my rough judgment, fewer than 20 needed me to do something right away. By early afternoon I noticed that I no longer turned my head for a pump alarm down the hall. That is alarm fatigue, and I was part of it.
The research suggests my shift was ordinary. A review of the literature reported that between 72% and 99% of clinical alarms are false or clinically insignificant and described how the volume desensitizes clinicians, contributing to missed alarms and patient deaths (Sendelbach & Funk, 2013). In an observational study on pediatric wards, only 0.5% of 11,745 physiologic monitor alarms were actionable, and nurses' response times grew longer as their recent exposure to nonactionable alarms increased (Bonafide et al., 2015). Nurses still care; the system simply teaches us, one false alarm at a time, to stop listening.
More alarms are not the same as more safety. Shorr's team randomized 16 units and pushed bed-exit alarm use sharply upward on half of them, yet falls and fall injuries stayed where they were (Shorr et al., 2012). Our unit's default is to turn on a bed alarm for any patient with a fall risk score above a threshold, which may explain why so many of my 214 alarms were bed exits for patients who were simply rolling over.
Nurses can lead two changes. First, we can ask our informatics and biomedical teams to review alarm data by type and unit, since most systems log every alarm, and to adjust defaults such as pump completion alerts and bed alarm sensitivity. Second, we can replace blanket rules with individualized decisions, turning on bed alarms for patients whose risk and behavior justify them rather than for every score above a line. Both treat alarm fatigue as a design problem rather than a discipline problem.
Question for classmates: who decides the alarm settings on your unit, and have nurses ever been asked?
References
Bonafide, C. P., Lin, R., Zander, M., Graham, C. S., Paine, C. W., Rock, W., Rich, A., Roberts, K. E., Fortino, M., Nadkarni, V. M., Localio, A. R., & Keren, R. (2015). Association between exposure to nonactionable physiologic monitor alarms and response time in a children's hospital. Journal of Hospital Medicine, 10(6), 345-351. https://doi.org/10.1002/jhm.2331
Sendelbach, S., & Funk, M. (2013). Alarm fatigue: A patient safety concern. AACN Advanced Critical Care, 24(4), 378-386. https://doi.org/10.1097/NCI.0b013e3182a903f9
Shorr, R. I., Chandler, A. M., Mion, L. C., Waters, T. M., Liu, M., Daniels, M. J., Kessler, L. A., & Miller, S. T. (2012). Effects of an intervention to increase bed alarm use to prevent falls in hospitalized patients: A cluster randomized trial. Annals of Internal Medicine, 157(10), 692-699. https://doi.org/10.7326/0003-4819-157-10-201211200-00005
What the NUR 633 Module 1 instructions ask for
In week one, NUR 633 usually asks for a post on an informatics issue that nurses meet in practice, such as alarm fatigue, documentation burden, usability, privacy or the nurse's role in technology decisions, supported by research. Some prompts ask you to describe a technology in your own setting and evaluate it. Aim for roughly 300 to 500 words with a couple of APA 7 sources, then reply to classmates during the week. Ground the post in something you observed or measured, even informally, connect it to research and propose a change a nurse could lead, because the course rewards seeing technology problems as problems of design, workflow and data rather than of individual effort.
How this NUR 633 Module 1 discussion example is built
In this post, a composite medical-surgical nurse counts 214 alarms in one day shift, notes that fewer than 20 needed immediate action and admits she stopped reacting to pump alarms. The Sendelbach and Funk review, reporting that 72% to 99% of alarms are false, and the Bonafide study, in which 0.5% of alarms were actionable and responses slowed with exposure, show her shift was typical. The Shorr trial, where more bed alarm use did not reduce falls, challenges the unit's blanket rule. The post proposes reviewing alarm logs to adjust defaults and individualizing bed alarm decisions, then asks classmates who sets alarm parameters on their units.
Where the NUR 633 Module 1 rubric puts the points
Discussion rubrics in NUR 633 commonly score understanding of the informatics concept, application to practice, integration of scholarly evidence, APA 7 citation and meaningful peer interaction. Posts earn more when they bring data or direct observation from practice and link it to research, and when they frame the issue as a matter of system design rather than individual blame. Proposing a realistic, nurse-led change shows application of informatics thinking. A reply earns credit by bringing in another technology, a study that cuts the other way or a tactic that worked on another unit, and graders expect posts to be on time and professional throughout the discussion period and in every reply.
NUR 633 Module 1 help: the mistakes that cost points
Informatics posts lose points when they describe a technology without a problem, rely on personal opinion without research, treat alarm fatigue or workarounds as a staff attitude issue or end without any proposed change. Another common gap is citing only vendor or news sources. Start from an observation or data point, connect it to peer-reviewed evidence, identify the design or workflow cause and suggest a change nurses can influence. Close with a question that invites classmates to compare settings and practices. If your prompt asks about documentation burden, usability or the informatics nurse specialist role, pass it along with the rubric and the first post can center on that topic instead.
Get NUR 633 Module 1 written to your instructions
Send the discussion prompt and a technology problem from your own unit. A first post that starts from an observation, connects it to research and proposes a nurse-led design change will be ready in 24 to 48 hours, and your first post is free. 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.
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NUR 633 Module 1 questions, answered
Where can I find a free NUR 633 Module 1 Discussion sample?
A complete first post is available on this page: alarm fatigue on a medical-surgical unit, supported by research on false alarms, slower responses and a bed alarm trial, with APA 7 citations.
What is alarm fatigue?
Desensitization to alarms caused by exposure to many alarms, most of them false or not requiring action, which can lead clinicians to respond slowly or miss important alarms.
What share of clinical alarms are false?
A review reported that 72% to 99% of clinical alarms are false or clinically insignificant, and one pediatric study found only 0.5% of monitor alarms were actionable.
Do bed alarms prevent falls in hospitals?
In a cluster randomized trial, an intervention that greatly increased bed alarm use did not reduce falls or fall-related injuries, so alarms alone are not an effective fall prevention strategy.
How can nurses reduce alarm fatigue?
By reviewing alarm data to adjust default settings, individualizing alarm use to patient risk and working with informatics and biomedical teams on alarm configuration.