D221 – PA: Addressing Medication Errors in Healthcare Settings

Systems-Level Safety Concern in a Healthcare Setting Using SBAR Format

Situation (S)

Medication administration represents one of the most essential yet error-prone responsibilities in nursing practice. At a systems level, this process introduces notable safety vulnerabilities because a single mistake can impact multiple patients and result in significant clinical harm. Although errors can take many forms, some of the most common include administering an incorrect medication, delivering an inappropriate dosage, providing medication at the wrong time, or giving high-alert medications without verifying prerequisite diagnostic information such as laboratory values, vital signs, or allergy profiles. Additionally, unanticipated allergic reactions or adverse drug events further elevate risk and compromise patients’ well-being.

To ensure safe outcomes, healthcare systems must emphasize consistent adherence to medication safety protocols, cultivate strong interdisciplinary communication, and reinforce infection control practices that support safe delivery. A comprehensive safety culture focused on preventing medication errors is essential for minimizing avoidable harm and maintaining public trust.

Background (B)

Medication administration errors remain a substantial public health concern and continue to affect clinical outcomes and healthcare expenditures. In the United States alone, adverse drug events contribute to an estimated 7,000 to 9,000 preventable deaths annually, with additional reactions going unreported in many clinical settings (Tariq et al., 2023). These errors may occur during prescribing, transcription, dispensing, or administration, demonstrating the need for a whole-system approach to prevention.

Several factors contribute to medication errors, including inadequate pharmacological knowledge, misinterpretation of illegible prescriptions, distraction during busy workflow periods, and failure to identify documented allergies. Nurses are at particular risk of error when medications have similar names, when doses differ from standardized dispensing units, or when barcode medication verification is bypassed due to workflow interruptions. Evidence consistently shows that barcode scanning significantly reduces error incidence by ensuring accurate patient–medication matching.

National patient safety policies, including standards from The Joint Commission (2021), require organizations to implement robust verification practices to enhance medication safety. Required measures include confirming patient identity using two unique identifiers and obtaining independent double checks for high-risk medications. Moreover, best practice standards emphasize verifying the correct medication, dose, route, time, and documentation—the “five rights”—as well as appropriate labeling of prepared medications and thorough documentation of IV lines to reduce preventable harm. These measures underscore the need for systematic vigilance across all points of medication management.

Assessment (A)

Medication errors produce clinical, emotional, legal, and financial consequences for patients, clinicians, and healthcare organizations. Patients may suffer immediate or long-term physical harm, experience deterioration in their overall condition, or lose confidence in the healthcare system. Nurses may face disciplinary inquiries, legal ramifications, or emotional strain related to involvement in preventable incidents. Organizations absorb substantial financial losses, encounter reputational damage, and become subject to extensive regulatory reviews.

Table 1. Stakeholder Impact Summary

Beyond the immediate clinical effects, medication errors can degrade patient perceptions of safety and deter individuals from seeking care in the future. For nurses, involvement in such events may result in moral distress or burnout, impacting workforce stability. Ultimately, medication safety plays a central role in determining the overall quality and value of healthcare delivery, emphasizing the need for rigorous assessment of allergies, contraindications, drug compatibilities, and patient-specific factors before administering any medication.

Recommendation (R)

A key strategy to significantly reduce medication administration errors is the adoption and optimization of Electronic Medication Management Systems (EMMS). These systems integrate essential medication processes including dose calculations, infusion rate adjustments, clinical decision support, and barcode verification. EMMS have demonstrated measurable improvements in patient safety and organizational efficiency, with controlled studies showing reductions in serious medication errors by up to 50% (Westbrook et al., 2020).

This aligned approach supports principles found in High-Reliability Organizations (HROs), which strive for operational excellence and zero harm. HROs promote the proactive identification of system vulnerabilities and continuous process refinement—objectives that EMMS inherently support. By generating alerts for potential errors, offering real-time decision support, and ensuring consistent documentation, EMMS reinforce a safety-centered clinical environment.

Potential Barriers and Solutions

Importance of Shared Decision-Making

Effective implementation requires collaboration across disciplines, including physicians, nurses, pharmacists, IT professionals, and patient representatives. Clinicians contribute critical insights regarding workflow practicality, while pharmacists ensure alignment with medication safety standards. Patients’ perspectives help shape user-friendly processes and enhance transparency. Shared ownership strengthens long-term sustainability and fosters organizational commitment to safety.

Measuring Outcomes

Evaluating the effectiveness of EMMS requires systematic monitoring and reporting. A dedicated quality improvement team should analyze medication error rates, categorize errors by severity and type, and compare pre- and post-implementation results. Additional outcome measures include reductions in high-risk medication errors, improvements in clinical documentation accuracy, and long-term financial savings from avoided adverse drug events. Trend analysis across various departments can help identify patterns and further opportunities for improvement.

Current Care Delivery Model and Impact of Recommendation

Healthcare organizations employ diverse care delivery frameworks, including functional nursing, team-based nursing, and primary nursing models. Functional nursing is common in high-acuity settings and centers on task-based assignments, while team nursing incorporates interdisciplinary collaboration among registered nurses, licensed practical nurses, and nursing assistants. Regardless of structure, EMMS enhances medication safety by providing real-time cross-verification tools, built-in alerts for contraindications, and standardized administration processes.

The technology also assists float nurses or newly assigned personnel who may be unfamiliar with unit-specific workflows or patient histories. EMMS reduces reliance on memory and manual verification, thereby decreasing error risk and supporting equitable standards of care across varying clinical environments.

Summary Table of SBAR Analysis

References

Tariq, R. A., Vashisht, R., Sinha, A., et al. (2023). Medication dispensing errors and prevention. In StatPearls [Internet]. StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK519065/

The Joint Commission. (2021). 2021 hospital national patient safety goals. https://www.jointcommission.org/-/media/tjc/documents/standards/national-patient-safety-goals/2021/simplified-2021-hap-npsg-goals-final-11420.pdf

D221 – PA: Addressing Medication Errors in Healthcare SettingsD220 Nursing Informatics Study Guide and Questions

Westbrook, J. I., Sunderland, N. S., Woods, A., Raban, M. Z., Gates, P., & Li, L. (2020). Changes in medication administration error rates associated with the introduction of electronic medication systems in hospitals: A multisite controlled before and after study. BMJ Health & Care Informatics, 27(3). https://doi.org/10.1136/bmjhci-2020-100170

Westbrook, J. I., Gospodarevskaya, E., Li, L., Richardson, K. L., Roffe, D., Heywood, M., Day, R. O., & Graves, N. (2017). Cost-effectiveness analysis of a hospital electronic medication management system. Journal of the American Medical Informatics Association, 22(4), 784–793. https://doi.org/10.1093/jamia/ocu014