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Introduction – Improvement Plan Tool Kit

Medication errors cause unwanted damage to individuals, healthcare professionals, and healthcare systems. Nurses must recognize and promote strategies that enhance drug administration safety. A safety enhancement strategy necessitates an insignificant quantity of knowledge that can be shared among the relevant individuals (Amaniyan et al., 2020). A Medication Administration Error (MAE) improvement plan tool kit is created in this assessment. Google Scholar, PubMed Central, Capella Online Library, and CINAHL databases were used to generate this tool kit. This resource tool kit aims to help nursing staff and other healthcare providers execute the drug safety improvement plan with a comprehensive understanding and awareness of the associated ideas to accomplish effective outcomes. 

Resource Tool Kit – Implementation and Sustainability 

This resource kit is divided into four groups, allowing nurses to seek guidance from the most pertinent resources. These areas are:

1. a)  Implementation of quality medication administration
2. b) Best practices of MAE reporting and improved patient safety 
3. c) Evidence-based strategies for safety improvement plan
4. d) Staff-led interventions in medication safety

Implementation of Quality Medication Administration

Savva, G., Papastavrou, E., Charalambous, A., Vryonides, S., & Merkouris, A. (2022). Exploring nurses’ perceptions of medication error risk factors: Findings from a sequential qualitative study. Global Qualitative Nursing Research, 9, 23333936221094857. https://doi.org/10.1177/23333936221094857

This resource used a prospective observational study method to determine the incidence, and nature and identify the factors associated with MAEs. This study also focuses on interventions to reduce the risk factors. The resource group focuses on an improvement plan to enhance patient safety. This study claimed that most MAEs occur in intravenous doses of medications with 35% of total MAEs. The study has highlighted various MAEs attributed risk factors. One of the significant factors is staff, including nurses-related risk factors such as knowledge, expertise, patient medical condition, workload, and poor communication among staff members. Procedure-related mistakes are also common during the medication delivery process.

Exclusions and deviations from safe medication administration protocols are typical procedural mistakes. This study can assist nurses and healthcare staff discover more about the factors leading to MAEs. Comprehension of these risk variables can assist them in finding similar aspects in their organizations and implementing appropriate safety enhancement programs to achieve and sustain reforms. Furthermore, intravenous medication errors can be fatal to patients. Therefore, this study aids medical staff and nurses in their continual efforts to enhance the standard of care and guarantee the safety of patients.

Capella 4020 Assessment 4 Improvement Plan Tool Kit

Rozenblum, R., Rodriguez-Monguio, R., Volk, L. A., Forsythe, K. J., Myers, S., McGurrin, M., Williams, D. H., Bates, D. W., Schiff, G., & Seoane-Vazquez, E. (2020). Using a machine learning system to identify and prevent medication prescribing errors: A clinical and cost analysis evaluation. The Joint Commission Journal on Quality and Patient Safety, 46(1), 3–10. https://doi.org/10.1016/j.jcjq.2019.09.008 

The authors investigated using a machine learning system to identify and prevent pharmaceutical dispensing mistakes. Furthermore, the article intends to assess medical procedures and economic implications following the implementation of this technology-based approach. This study showed that this technology-based method is crucial for reducing errors. It has detected a significant reduction in prescription errors. Preventing MAEs resulted in lower expenditures. This demonstrated that machine learning systems can generate clinically acceptable drug mistake alarms, which conventional clinical decision-support tools commonly fail to do. This technique can detect drug errors in advance. It helps the healthcare providers in developing strategies for drug delivery improvement plans. 

Brito D. A., M., Carneiro, C. T., Bezerra, M. A. R., Rocha, R. C., & Da Rocha, S. S. (2022). Effective communication strategies among health professionals in neonatology: An integra