NURS FPX 4020 Assessment 2: Root-Cause Analysis and Safety Improvement Plan Evidence-Based Safety Issue
Error caused in the medication process is always an uncertain occurrence in methodological, structural, and choice-based mistakes made by the entire healthcare institution as a collective. These mistakes indicate errors in administration, data collection, and distribution and a repeated set of choices exhibited by the staff and administration of the respective healthcare organization (Rodziewicz et al., 2021). World Health Organization (WHO) declared that less than ten percent of medication errors are directly deducted from management in general (Aldossary et al., 2021). The Institute of Medicine (IOM) suggested that more the 50,000 patients in healthcare centers experienced problems concerning medicine provision or issuance. More than seven percent of admitted children experience severe repercussions due to medicine because their body is not immune to any external agent which does not support their treatment (Aldossary et al., 2021).
Capella 4020 Assessment 2
Singh. G et al. (2022) reported that a 24-question analysis supporting the framework suggested by the Joint Commission was put forward which considered various factors contributing to the occurrence of medication errors. NURS FPX 4020 Assessment 2: Root-Cause Analysis and Safety Improvement Plan. These contributing factors included outward stimuli, management concerns, and issues related to the healthcare nurses to be specific. Other than that, errors in equipment-related concerns, situational effects, environmental problems, and problems related to the fair and proper education of the healthcare staff are also included. Furthermore, contingency plans, communication, and concerns about expected performance by the healthcare staff also caused it (Singh et al., 2022). The researcher suggested that a flexible work environment supported by suitable work hours which can create effective communication among the staff and aids them in fulfilling their work-centric expectations can help reduce the number of medication errors occurring (Singh et al., 2022).