| Course | HLTH 2120 Health Informatics |
|---|---|
| Week | Week 4 |
| Paper type | System evaluation paper |
| Length | About 1,020 words, 6 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | BS in Healthcare Administration |
| Updated | October 2026 |
Free sample paper for HLTH 2120 Week 4
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
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.
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.
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.
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.
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 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.
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.
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 1: Health Record Purpose Post
- HLTH 2120 Week 2: Health Data Terminology Brief
- HLTH 2120 Week 3: Patient Weight Data Flow Map
- HLTH 2120 Week 5: Data Quality Audit
- HLTH 2120 Week 6: Alert Override Discussion Post
- HLTH 2120 Week 7: Record Access Privacy Analysis
- HLTH 2120 Week 8: Interoperability Brief
- HLTH 2120 Week 9: Workflow Change Analysis
- HLTH 2120 Week 10: System Change Implementation Memo
- HLTH 2120 Week 11: Health Informatics Reflection
- HLTH 1015 Week 4: Career Source Evaluation
- HLTH 1005 Week 4: Care Setting Comparison
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.