In addition to improving existing practices, big data is creating new opportunities for nurses. This type of analysis offers powerful information for both creating guidelines and legislation at the federal or state level and determining how individual organizations should operate.īig data used to analyze workflow can also provide decision support, which will give nurses the confidence that they need when it comes to deciding the best course of action when caring for patients. With big data, nurses can use data analysis to determine the most efficient way to treat patients, from how to document their visits to the most effective way to staff a unit. This principle also has an impact on nursing analytics, education and research, ensuring that time and other resources are maximized by using the most efficient and effective practices. Studies have suggested that implementing evidence-based best practices have a number of positive benefits in clinical care, including the following: Big data makes it easier than ever to determine best practices and ensure that they are used within the organization. When providing care to patients, nurses want to be confident that their decisions are based on the optimal treatment strategy. This level of extreme tiredness can negatively impact patient care. According to a 2020 survey by the UK-based Nursing Times, which took into account 91 papers written on the subject, high job demands, role conflict and high patient complexity predicted the emotional exhaustion found in most burnout cases. Using big data, nursing leaders can more effectively determine how many staff members they will need at any given time.Īdequate staffing levels also help to prevent nursing burnout. ![]() When a nursing team is short-staffed, the situation can literally be a matter of life and death. ![]() In most industries, if a team is short-staffed, employees do their best to make do, and deal with any consequences down the line. Schedules continually change, and staffing requirements fluctuate with demand based on the number of patients and their needs.
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