Pharmacology Medication Error Case Study Analysis Using Informatics Technologies APA Paper Requirements General Hospital Mr Smith Example

Nursing and pharmacology students prepare a minimum 1250-word APA formatted analysis of the General Hospital medication error case involving Mr Smith by identifying specific errors contributing factors and at least two informatics solutions to strengthen patient safety protocols in clinical settings.

Medication Error Case Study

The incident took place at General Hospital, a 500-bed tertiary care facility, where the patient, Mr. Smith, a 65-year-old male, was admitted for elective surgery to address a chronic orthopedic issue. Mr. Smith has a history of hypertension and diabetes, managed with a combination of antihypertensive and antidiabetic medications.

Mr. Smith was admitted to the hospital, and the nurse documented the patient’s home medications, including lisinopril (an ACE inhibitor) for hypertension and metformin for diabetes in the electronic health record system (EMR). Recent hospital audits highlight how thorough initial documentation can prevent later oversights when integrated properly with reconciliation tools.

Mr. Smith underwent preoperative assessments, and the provider prescribed various medications to be administered preoperatively, including a prophylactic antibiotic, Amoxicillin 2 grams IV, once and the pain management drug, Oxycodone 5 mg PO q4h, for pain. These medications were entered into the hospital’s EMR. However, the provider did not complete the medication reconciliation process; thus, the lisinopril 10 mg PO per day and metformin 500 mg PO per day home medications were not included in the active list of medications.

The pharmacy, unaware of the missing medications, dispensed the prescribed antibiotic and pain management drug. Many facilities now rely on automated cross-checks to catch such gaps early in the workflow.

The nursing staff received medication orders for prophylactic antibiotics and pain management. However, the omission of lisinopril and metformin from the orders went unnoticed. The nurse administered the scheduled medications without cross-referencing with the patient’s pre-admission medications. Postoperatively, Mr. Smith’s blood pressure began to rise, and his blood glucose levels were elevated.

The nursing staff, recognizing the issue, investigated the patient’s medication history and discovered the oversight. The provider was contacted and ordered lisinopril 10 mg PO per day and metformin 500 mg PO per day in the EMR. The missing antihypertensive and antidiabetic medications were promptly administered to Mr. Smith. On the morning of the second postoperative day, the nurse responsible for Mr. Smith’s care mistakenly administered Oxycodone 10 mg instead of the prescribed 5 mg.

Within an hour of receiving the higher dose of Oxycodone, Mr. Smith experienced a significant drop in blood pressure, leading to dizziness and lightheadedness. The nursing staff promptly identified the error when they noticed the unexpected change in vital signs during routine monitoring.

Pharmacology Medication Error Case Study Assignment Instructions

Overview. A medication error refers to any preventable event that may lead to inappropriate medication use or patient harm. These errors can occur at any stage of the medication use process, from prescription and dispensing to administration and monitoring.

Medication errors encompass a wide range of mistakes, including incorrect dosage, drug interactions, administration route errors, and prescription of the wrong medication. Hospitals continue to report that such events affect thousands of patients annually despite advances in technology.

This assignment is to enhance your understanding of the critical role that informatics plays in healthcare, specifically in the context of medication management. Through the examination of a medication error, you will develop a deeper appreciation for the impact of information systems on patient safety, quality of care, and overall healthcare outcomes. Faculty members note that students who connect case details directly to informatics solutions often produce stronger analyses.

Instructions. You will analyze a medication error case study using pharmacology and informatics materials to analyze, identify, and propose solutions to decrease the risk of medication errors. The case you will review can be found within the Medication Error Case Study document as found as a resource within the assignment in Canvas.

For this paper, after identifying and describing the medication errors in the case study, you will research and identify the factors contributing to the medication errors. Based on these findings, you will identify improvements to be made and explain how the use of informatics technology can eliminate or decrease the risk of the medication errors. Current studies from 2024 show that targeted informatics interventions can reduce similar errors by nearly 30 percent when fully adopted.

You will write a paper at least 1,250 words in length in current APA format on your analysis. The title page and the references do not count towards the 1,250-word count requirement. Be sure to include all of the following within your paper. Recent course discussions emphasize clear organization to meet rubric standards effectively.

• Identify and describe at least 2 the medication errors from the Case Study.
• Identify and describe at least 3 factors that contributed to the medication errors.
• Based on the findings, identify improvements to be made and explain how the use of informatics technologies (minimum of 2) could have eliminated or decreased the risk of the medication errors.

The paper must include at least 5 references (scholarly articles published within the last five years) in addition to the course textbooks and the Bible. Each reference must have at least one citation in APA format. Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.

Example Analysis Paper Excerpt to Guide Your Original Work

The case study at General Hospital illustrates two distinct medication errors that compromised patient safety for Mr Smith. The first error occurred when the provider omitted medication reconciliation so the patient’s home lisinopril and metformin never entered the active EMR orders. The second error involved the nurse administering double the prescribed oxycodone dose which triggered hypotension shortly after. Three key factors contributed including the provider’s failure to finalize reconciliation steps, the absence of pharmacy verification alerts for chronic medications, and manual dose selection without barcode confirmation. Improvements could include mandatory automated reconciliation prompts upon admission and real-time dose range checking at administration. Informatics technologies such as clinical decision support systems within computerized provider order entry and barcode medication administration systems would directly address these risks by flagging discrepancies instantly. The Effects of Electronic Health Records on Medical Error Reduction demonstrates measurable safety gains when EHR systems incorporate quality and service enhancements (Chimbo, 2024, https://doi.org/10.2196/54572). Students who apply these technologies in their proposals consistently report clearer connections between theory and practice.

Meta-analyses of hospital implementations confirm that properly configured electronic medication systems lower administration errors while supporting sustained reductions in harm when paired with staff training. University hospital case studies further reveal that initial error reporting may rise temporarily during transition yet overall safety metrics improve within the first year. Evidence from multiple clinical settings therefore supports the integration of these informatics tools alongside ongoing protocol reviews to achieve lasting patient protection.

References

• Chimbo, B. (2024). The effects of electronic health records on medical error reduction: Extension of the DeLone and McLean information system success model. JMIR Medical Informatics, 12, e54572. https://doi.org/10.2196/54572
• Gates, P. J., Hardie, R.-A., Raban, M. Z., Li, L., & Westbrook, J. I. (2021). How effective are electronic medication systems in reducing medication error rates and associated harm? A systematic review and meta-analysis. Journal of the American Medical Informatics Association, 28(1), 167–176. https://doi.org/10.1093/jamia/ocaa230
• Insani, W. N., Whittaker, C., & Smith, J. (2025). Digital health technology interventions for improving medication safety: A systematic review of economic evaluations. JMIR. https://doi.org/10.2196/65546
• Lindén-Lahti, C., Kivivuori, S.-M., Lehtonen, L., & Schepel, L. (2022). Implementing a new electronic health record system in a university hospital: The effect on reported medication errors. Healthcare, 10(6), 1020. https://doi.org/10.3390/healthcare10061020
• Mwogosi, A. (2025). Meta-analysis of electronic health records and their effect on diagnostic and medication errors in healthcare. Intelligence-Based Medicine. https://doi.org/10.1016/j.ibmed.2025.100130

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5. Students write a minimum 1250-word APA paper analyzing the General Hospital medication error case by identifying at least two errors three contributing factors and two informatics technologies that could prevent future incidents in pharmacology courses.

Complete a 1250-word APA formatted analysis paper for the pharmacology medication error case study that details errors factors improvements and informatics solutions with five recent scholarly references.

Submit a 1250-word APA paper on the medication error case study that identifies errors contributing factors and explains how informatics technologies reduce risks in healthcare settings.

Assignment: Week 7 Discussion Post – Pharmacology Informatics and Patient Safety Spring 2026

Evaluate the role of clinical decision support systems in preventing adverse drug events based on a provided real-world scenario or recent journal article. Post an initial 300- to 400-word response that includes specific examples of system features and their impact on error rates. Reply substantively to at least two classmates by comparing their chosen technology to another informatics tool discussed in the module and suggesting implementation strategies for your clinical setting.