Student Name
Capella University
NURS-FPX 4020 Improving Quality of Care and Patient Safety
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Date
A safety improvement plan invoked the creation and evolution of an entire system in order to create emphasis on predicting the outcomes of desired practices and create workflows that function effectively best in all circumstances both for healthcare organizations and patients. The root-cause analysis, on the other hand, inspects the situation at hand distinctively and based on case studies and provided evidence lays down on the pre-supposition and presumption of solutions. Kwok et al. (2020) put forward that the way root-cause analysis could be distinctively made successful is to align its components and causes. That way they can be addressed easily. It is also claimed that human mistakes and issues in medicine affect healthcare facilities. Similarly, it is also an important concern in the service provision and performance of the entire department. These medicinal and performance-based concerns lead to a bad reception by the patient from an institutional point of view (Karande et al., 2021). In the end, it befalls entire institutions and management to ensure these errors are omitted and proper protocol is followed. In this intent, root-cause analysis is considered a revolutionary and progressive step in identifying mentioned problems and putting forward a way in which these concerns could be sorted out. Hibbert et al. (2018) suggested that compartmentalizing, time management, and feasibility are important elements contributing to the implementation of effective root-cause analysis. Respective research focuses on the root-cause analysis of medication errors by systemic and management concerns in the healthcare sector administered through evidence-based material. Therefore, the methods and structures improving the concerns of patients will be identified through evidence-based approaches. The involvement of the entire institution in the process is also taken into consideration.
Shin et al. (2021) organized patient safety incidents and associated factors in Korean hospitals. For this research, patient records of 2940 patients from the year 2017 were analyzed. Consequently, the data of 5889 patients from 2018, and 7389 from 2019 was considered for this research. The patient’s health deterioration in many cases resulted in death. In most cases, it was due to medication errors made due to patient healthcare records. According to data collected by the researchers, only sometimes patient health issues got worse due to medical complications, patient’s age, and immunity. These medication errors are solely based on inaccuracies in data collection or an error caused in patients’ health documentation. These medication errors occurred in medication, surgery, anesthesia, examination, infection, and contamination. To analyze the data Jonckheere-Terpstra (TJ) test was performed in order to analyze the types and trends of these issues caused and traced by the year (Shin et al., 2021). Regression Model 1 was utilized to understand and analyze the medication error. It was observed that over the years 49.8 percent of males and 50.2 percent of females encountered these errors. In a graph format, it was evaluated that 56.4 percent of these incidents occurred during the evening time and 59.0 percent were caused by the hands of the healthcare provider. Shin et al. (2021) declared this pattern as an indicator of extra workflow and external influence on healthcare providers to cause these issues. Even though an account of massive negligence and lack of organization was also documented but the graph’s logical structures suggest external influence more than then a choice.
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