| Course | DNP 642 Applied Pharmacotherapeutics for Pediatrics |
|---|---|
| Module | Module 2 |
| Paper type | Generative AI case evaluation |
| Length | About 606 words, 5 pages |
| Format | APA 7 student paper |
| School | Arizona State University |
| Program | Doctor of Nursing Practice |
| Updated | October 2026 |
Free sample paper for DNP 642 Module 2
Checking the Chatbot: Is an AI Treatment Plan for an Adolescent With High Blood Pressure Correct?
Student Name
Edson College of Nursing and Health Innovation, Arizona State University
DNP 642: Applied Pharmacotherapeutics for Pediatrics
Instructor Name
Month Day, Year
Checking the Chatbot: Is an AI Treatment Plan for an Adolescent With High Blood Pressure Correct?
The Scenario
A 14-year-old girl comes for a sports physical. Her BMI is at the 97th percentile. Blood pressure readings at this visit and two earlier visits were 134/84, 136/82 and 132/86 by auscultation. She has no symptoms, takes no medications and is not sexually active. Her father has hypertension.
What the AI Recommended
I entered the scenario into a free generative AI chatbot and asked for treatment recommendations. Its answer, summarized: (1) she has stage 1 hypertension; (2) start an ACE inhibitor such as lisinopril now; (3) recommend a low-salt diet and exercise; (4) recheck blood pressure in three months; (5) order an echocardiogram and renal ultrasound.
Evaluating Each Recommendation
1. Classification: correct, but not yet confirmed. For adolescents 13 and older, the AAP guideline defines stage 1 hypertension as 130/80 to 139/89, so her readings fall in that range on three visits (Flynn et al., 2017). The guideline recommends confirming the diagnosis with ambulatory blood pressure monitoring before starting treatment, to rule out white coat hypertension. The AI skipped this step. Missing the diagnosis is also common: in a large primary care cohort, only 26% of children and adolescents with hypertension had the diagnosis documented (Hansen et al., 2007), so recognizing her pattern was the right first step.
2. Starting an ACE inhibitor now: not correct. For an asymptomatic adolescent with stage 1 hypertension and no chronic kidney disease, diabetes or target organ damage, the guideline recommends lifestyle changes first, with medication if blood pressure stays high despite a fair trial of lifestyle change, or sooner if she has symptoms, stage 2 hypertension without a modifiable cause, chronic kidney disease or diabetes (Flynn et al., 2017).
3. Diet and exercise: correct but too vague. The guideline recommends the DASH eating pattern and moderate to vigorous physical activity three to five days a week, and weight management is central for her. A referral to a structured weight management program would strengthen the plan.
4. Recheck in three months: partly correct. Follow-up with home or office readings during lifestyle change is appropriate, but confirmation with ambulatory monitoring should come first.
5. Echocardiogram and renal ultrasound: partly correct. The guideline recommends an echocardiogram to look for left ventricular hypertrophy when medication is being considered. Renal ultrasound is reserved for children under six or those with abnormal urinalysis or kidney function, so it is not routine for her. The AI also missed the recommended basic evaluation: urinalysis, chemistry panel with creatinine, lipid profile and, given her obesity, hemoglobin A1c, liver enzymes and a fasting lipid panel.
If Medication Becomes Necessary
First-line options are an ACE inhibitor, an angiotensin receptor blocker, a long-acting calcium channel blocker or a thiazide diuretic (Flynn et al., 2017). For an adolescent girl, ACE inhibitors and ARBs require counseling about their risk to a developing fetus and a plan for contraception or a different class if pregnancy is possible. The AI did not mention this. Evidence for antihypertensives in children is thinner than in adults: a Cochrane review of 21 trials found modest blood pressure reductions over short follow-up, mostly in industry-funded trials, and no trials measuring effects on organ damage (Chaturvedi et al., 2014). That supports a cautious, stepwise approach.
Verdict
The chatbot classified her correctly but jumped to medication, skipped confirmation and evaluation, overordered one test and missed the pregnancy counseling that should accompany an ACE inhibitor in an adolescent girl. A safe plan is to confirm with ambulatory monitoring, complete the evaluation, start structured lifestyle change and reassess, reserving medication for persistent or progressing hypertension.
References
Chaturvedi, S., Lipszyc, D. H., Licht, C., Craig, J. C., & Parekh, R. (2014). Pharmacological interventions for hypertension in children. Cochrane Database of Systematic Reviews, (2), Article CD008117. https://doi.org/10.1002/14651858.CD008117.pub2
Flynn, J. T., Kaelber, D. C., Baker-Smith, C. M., Blowey, D., Carroll, A. E., Daniels, S. R., de Ferranti, S. D., Dionne, J. M., Falkner, B., Flinn, S. K., Gidding, S. S., Goodwin, C., Leu, M. G., Powers, M. E., Rea, C., Samuels, J., Simasek, M., Thaker, V. V., & Urbina, E. M. (2017). Clinical practice guideline for screening and management of high blood pressure in children and adolescents. Pediatrics, 140(3), Article e20171904. https://doi.org/10.1542/peds.2017-1904
Hansen, M. L., Gunn, P. W., & Kaelber, D. C. (2007). Underdiagnosis of hypertension in children and adolescents. JAMA, 298(8), 874-879. https://doi.org/10.1001/jama.298.8.874
What the DNP 642 Module 2 instructions ask for
Assignment 3 in the posted syllabus is a Generative AI case study that spans the cardiovascular, renal, obesity and urinary tract infection week and the following week, when the AAP pediatric hypertension guideline is among the readings. Students receive a scenario about a condition treated with medication, paste it into a generative AI tool of their choosing and ask for treatment recommendations. The task is then to determine whether the AI's recommendations are correct and to support each judgment with evidence from the literature. Together with the OTC deck and the infection case, it makes up the course's 150 assignment points. Report the AI's answer clearly before evaluating it, and identify which platform you used.
How the DNP 642 Module 2 example is put together
The paper restates the composite scenario, then records the AI's recommendations as a numbered list. Each recommendation is evaluated in turn as correct, partly correct or not correct, with the reason drawn from the AAP guideline and supporting research. A section on medication explains first-line classes, pregnancy counseling for ACE inhibitors and the limits of the pediatric evidence. A verdict summarizes the AI's errors and replaces its plan with a guideline-based one. The AAP guideline, a study of underdiagnosis and a Cochrane review are its three sources. No doses are given for the medications discussed. The verdict section names each error and the safer step that replaces it. No drug doses appear.
Reading the DNP 642 Module 2 grading rubric
Grading will likely center on an accurate record of the AI's recommendations, a correct judgment on each, evidence from current guidelines and research, attention to safety issues the AI missed and a clear, corrected plan. Papers earn more when they evaluate recommendations one at a time rather than commenting on the AI in general. Identifying omissions, such as confirmation testing or pregnancy counseling, shows clinical depth. Citing the specific guideline thresholds and indications demonstrates evidence-based reasoning. A brief note on the reliability of AI tools for prescribing adds perspective. Faculty may also credit papers that note which parts of the AI answer were reasonable, since a fair evaluation weighs strengths as well as errors.
DNP 642 Module 2 help with common mistakes
A frequent weakness is accepting most of the AI's plan without checking details. Test each recommendation against the guideline. Another is criticizing the AI without offering a corrected plan. Save the AI's exact answer with the date and platform. If you would like help evaluating an AI plan for your own scenario, send the desk the scenario and the AI's answer. Check age-specific thresholds, since pediatric definitions differ from adult ones. Keep doses out unless the assignment asks for them. Name the AI platform and the date you used it, quote its answer exactly and keep a screenshot in case faculty ask to see the original output.
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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DNP 642 Module 2 questions, answered
Where can I find a free DNP 642 Module 2 sample paper?
The complete DNP 642 Generative AI case study sample, checking a chatbot's plan for an adolescent with hypertension against the AAP guideline, is on this page.
What does the DNP 642 generative AI assignment require?
Entering a scenario into an AI platform, asking for treatment recommendations and judging whether each is correct, supported by literature.
What is stage 1 hypertension in adolescents?
For ages 13 and older, the AAP defines stage 1 hypertension as 130/80 to 139/89 mm Hg.
Should medication be started right away for stage 1 hypertension in a teen?
Usually not; the AAP recommends confirming with ambulatory monitoring and trying lifestyle change first unless specific conditions are present.
Which antihypertensives are first-line in children?
ACE inhibitors, angiotensin receptor blockers, long-acting calcium channel blockers or thiazide diuretics.