HLTH 2120 Week 4 Barcode System Evaluation Example

Health Informatics Walden University Free custom sample in 24 to 48h

This HLTH 2120 Week 4 system evaluation example judges a bedside barcode medication administration system on whether nurses can do the work the unit exists to do, not on its features. Walden HLTH 2120 brings BS in Healthcare Administration students to evaluation at this point, and this paper fixes four criteria before collecting evidence, following the ISO 9241-11 usability definition. Evidence comes from 24 observed medication passes, a monthly scanning report and published research. The system catches the errors it was built for, supported by Poon and colleagues. Scanning is only partly reliable because wet wristbands, labels and batteries push nurses into workarounds of the kind Koppel and colleagues documented. It cannot show whether a weight-based dose rests on an estimated weight. The verdict is mixed but definite, with four practical fixes the unit can measure.

CourseHLTH 2120 Health Informatics
WeekWeek 4
Paper typeSystem evaluation paper
LengthAbout 1,020 words, 6 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramBS in Healthcare Administration
UpdatedOctober 2026

Free sample paper for HLTH 2120 Week 4

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Can Nurses Do the Work the Unit Exists to Do? Evaluating a Bedside Barcode Medication Administration System Against Four Criteria Chosen Before Looking

Student Name

Walden University

HLTH 2120: Health Informatics

Instructor Name

Month Day, Year

What this page is doingThe title states that criteria came before evidence and that the test is the work of the unit, not the features of the software.
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Can Nurses Do the Work the Unit Exists to Do? Evaluating a Bedside Barcode Medication Administration System Against Four Criteria Chosen Before Looking

What Is Being Evaluated and How

This evaluation looks at the barcode medication administration system used on a medical-surgical unit, the bedside end of the chain that begins with the admission weight. At the bedside, the software compares two scans, one from the wristband and one from each package, with the active order, and it warns before anything is given that does not match. The system has many features. This evaluation does not grade them. It asks whether the nurses who must use the system can accomplish the work the unit exists to do: giving the right medication, in the right dose, to the right patient, at the right time, without the system creating new risks.

Usability standards define usability as the extent to which specified users can achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of use (International Organization for Standardization, 2018). Following that definition, I chose four criteria before collecting any evidence, so that the evidence could not shape the criteria. The evidence comes from observing 24 medication passes over three day shifts, with the nurses' permission, from the unit's monthly scanning compliance report and from published research. The unit and its figures are invented for this example, modeled on a typical student observation, and should be read as illustrative.

What this page is doingThe evaluation defines its object and its standard, fixes the criteria before the evidence and is open about where the evidence comes from.
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Criterion 1: Does the System Catch the Errors It Exists to Catch?

Evidence. In the 24 observed passes, the system stopped one wrong-time dose, an antibiotic scanned two hours early, and the nurse waited. The published evidence is stronger than any single unit's observation: when one academic hospital introduced bedside barcode checks together with an electronic administration record, researchers measured large drops in administration errors and potential adverse drug events (Poon et al., 2010).

Verdict. Met. When the scan is completed as designed, the system catches the errors it was built for.

What this page is doingEach criterion pairs local evidence with published evidence and ends with a verdict, which keeps the evaluation from drifting into description.
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Criterion 2: Can Nurses Complete the Scan Within the Task?

Evidence. In 19 of 24 passes, every item scanned on the first attempt. In five, at least one item would not scan: two because the wristband was wet or creased, two because a pharmacy label was printed over the barcode and one because the scanner's battery failed. In three of those five, the nurse typed the patient or medication number manually to override, which the system allows with a reason. The unit's report showed that about 93% of administrations were fully scanned in the last month, with the rest overridden.

Research has documented these patterns in detail. A study of barcode systems at several hospitals identified many types of workarounds, such as scanning a wristband taped to a computer cart instead of the patient, with causes rooted in technology, task and organizational factors (Koppel et al., 2008). Each workaround removes the protection the scan exists to provide.

Verdict. Partly met. The system works when the barcodes and equipment cooperate, and the gap between 93% and full scanning is mostly made of equipment and label problems, not nurse choice.

What this page is doingThe evidence separates failures by cause, which shows that most missed scans come from the environment rather than from users.
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Criterion 3: Does the System Support Weight-Based Doses?

Evidence. For weight-based medications, the administration screen shows the dose and the order but not the dosing weight or whether that weight was measured. In two observed passes of a weight-based anticoagulant, the nurse had no way at the bedside to see that the dosing weight was a family member's estimate, which last week's data flow map identified as a risk. The system confirmed the right drug and the right patient, but it could not confirm that the dose rested on a reliable number.

Verdict. Not met. The system verifies that the dose matches the order; it does not help the nurse judge whether the order was based on accurate data.

What this page is doingThe third criterion connects the evaluation to the previous week's data flow map, showing a limit the system's designers may not have targeted.
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Criterion 4: Does the System Add Time or Risk Elsewhere?

Evidence. The median observed pass took about the same time as the unit's informal estimate before barcoding, but failed scans added two to six minutes each. Nurses reported that alerts for minor timing differences were frequent and usually overridden, which risks training them to override all alerts. A nurse told me she now scans the wristband before entering the room when the patient is asleep, using the spare wristband kept at the door, a workaround of exactly the type described in the research.

Verdict. Partly met. The system adds time when it fails and creates a habit of overriding minor alerts, and at least one workaround removes the patient check entirely.

What this page is doingThe fourth criterion looks for costs the system creates, including a workaround observed directly, which keeps the verdict honest.
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What Nurses Said About the System

Nurses' satisfaction, the third part of the usability definition, was not one of my four criteria, but it came up in every conversation. Most nurses said they trusted the system and would not want to work without it, which matches the published finding that it prevents errors. Their frustration was with the failures: a scanner that dies mid-pass, a label that will not read, an alert that fires for a dose that is fifteen minutes early. Several said the frustration came less from the extra minutes than from feeling that they were being asked to choose between following the system and getting their patients their medications on time. That feeling is where workarounds begin, and it is worth measuring directly in a follow-up survey.

What this page is doingReporting what users said, separately from the criteria, adds the satisfaction dimension of usability without changing the verdicts.
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Overall Verdict

The verdict is mixed, and it is a verdict. The system does what it was designed to do when the scan happens as intended, and published evidence supports its value. It does not yet allow nurses to complete the work reliably, because equipment and labeling problems push them into workarounds, and it is blind to the quality of the data behind weight-based doses. The most useful changes are not new features. They are replacing failing scanner batteries and wristbands, fixing the pharmacy label layout, removing spare wristbands from doors and adding the dosing weight and its method to the administration screen. If those changes were made, I would expect the scanning rate to rise and the riskiest workaround to disappear, and the unit could check both in its monthly report.

What this page is doingThe overall verdict is stated plainly, linked back to each criterion and turned into changes the unit could measure.
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References

International Organization for Standardization. (2018). Ergonomics of human-system interaction: Part 11. Usability: Definitions and concepts (ISO Standard No. 9241-11:2018). https://www.iso.org/standard/63500.html

Koppel, R., Wetterneck, T., Telles, J. L., & Karsh, B.-T. (2008). Workarounds to barcode medication administration systems: Their occurrences, causes, and threats to patient safety. Journal of the American Medical Informatics Association, 15(4), 408-423. https://doi.org/10.1197/jamia.M2616

Poon, E. G., Keohane, C. A., Yoon, C. S., Ditmore, M., Bane, A., Levtzion-Korach, O., Moniz, T., Rothschild, J. M., Kachalia, A. B., Hayes, J., Churchill, W. W., Lipsitz, S., Whittemore, A. D., Bates, D. W., & Gandhi, T. K. (2010). Effect of bar-code technology on the safety of medication administration. New England Journal of Medicine, 362(18), 1698-1707. https://doi.org/10.1056/NEJMsa0907115

What the HLTH 2120 Week 4 instructions ask for

An evaluation assignment at this stage generally asks you to judge a health information system against criteria, using evidence. Set the criteria before you gather evidence, and base them on what users must accomplish, not on a list of features. A recognized definition, such as the usability standard, can anchor them. For each criterion, give local evidence and published evidence, then a verdict. Explain causes when the system falls short, distinguishing equipment and design problems from user choices. Report what users say separately from your criteria. Reach an overall verdict that is allowed to be mixed but still takes a position. Close with changes that address the specific shortfalls and could be checked later.

How the HLTH 2120 Week 4 example is put together

The opening defines the system and the test, cites the ISO usability standard and describes the 24 observed passes as illustrative. Criterion 1 reports a stopped wrong-time dose and Poon and colleagues' findings, and is met. Criterion 2 reports five scanning failures by cause, three manual overrides and a 93% scanning rate, citing Koppel and colleagues, and is partly met. Criterion 3 shows that the screen hides the dosing weight's source and is not met. Criterion 4 covers time lost to failures, frequent minor alerts and a spare-wristband workaround, and is partly met. A section reports nurses' views. The verdict calls for batteries, wristbands, label layout, removing spare wristbands and showing the weight's method.

HLTH 2120 Week 4 rubric: what earns full marks

Faculty usually reward evaluations whose criteria come before the evidence and focus on what users must accomplish. Feature lists or vendor claims earn little. Credit increases when each criterion has local and published evidence and a clear verdict. Faculty value analysis of why a system falls short, especially when it separates environmental causes from user behavior. A verdict that is mixed but definite is preferred to one that avoids judgment. Recommendations that target specific shortfalls and could be measured show practical sense. Honest labeling of illustrative data, organized sections and APA citations, including for standards, complete what is assessed. Faculty also look for whether the writer separated what users said from what the criteria measured, since satisfaction and performance can point in different directions.

HLTH 2120 Week 4 help from the desk

System evaluations often describe what the software can do and conclude that it is helpful, without testing anything. Others blame users for every workaround without asking what drove it. Some refuse to reach a verdict because the evidence is mixed. Write your criteria first, based on the work the unit must do. Then observe or gather evidence for each, and note causes when something fails. Give a verdict for each criterion before the overall judgment. Our writers can prepare a system evaluation for this course with criteria fixed in advance, evidence for each and a clear overall verdict. Label any observation numbers as illustrative if they are not from a real study.

Get a HLTH 2120 Week 4 example written to your instructions

Send the Week 4 prompt and the rubric, and the desk writes the evaluation on a described or composite application, criteria defined and defended, ratings evidenced, table included. No charge on the first one, and it returns inside 24-48h. Employer screenshots and live system exports stay out; a described setting carries the argument perfectly well.

More HLTH 2120 papers and BS in Healthcare Administration samples

HLTH 2120 Week 4 questions, answered

Where can I find a free HLTH 2120 Week 4 sample paper?

The full evaluation, from the criteria through the four verdicts and nurses' comments, is on this page and free to read.

What system does the HLTH 2120 Week 4 paper evaluate?

A bedside barcode medication administration system on a medical-surgical unit, where nurses scan the wristband and each medication before giving a dose.

Why were the criteria set before the evidence?

So the evidence could not shape the criteria, which keeps the evaluation focused on the work nurses must accomplish rather than on what the data happened to show.

Why do nurses work around the scanning?

Mostly because of wet or creased wristbands, labels printed over barcodes and failed batteries, not because they choose to skip the check.

What is the overall verdict?

Mixed but definite: the system prevents errors when used as designed, but equipment problems push nurses into workarounds and it cannot show whether a weight-based dose rests on an estimate.