Nurses are challenged to receive assess and integrate big data in a way that con

Nurses are challenged to receive assess and integrate big data in a way that continuously influences the outcomes of the nursing practice meaningfully. When nurses struggle to manage the large volumes of data, they receive daily, it can be overwhelming. It is agreeable that a nurse may feel as if they have become statisticians instead of doing nursing work. However, these data are crucial and will surely require nurses to act as a data visionary and architects to ensure that one sustains a continuous in-flow and absorption of data (McGonigle & Mastrian, 2022). At a personal level, I find it overwhelming to handle and manage large volumes of health information. Processing and integrating the information is strenuous and requires extra time during which one may feel barred from doing what matters, nursing care. However, a change of approach enhances the position for one to perform their professional duty. A lack of skills and a seeming overload of data may make it challenging for the nurse to perform (Glassman, 2017). Benefits of Using Big Data Electronic health records (EHRs) help in collecting demographic and medical data such as tests, clinical data, diagnoses, and medical conditions, which help healthcare practitioners to provide quality care. Healthcare companies use big data as part of their business intelligence strategy to examine historical patient admission rates and analyze staff efficiency. Healthcare companies can cut down on healthcare costs and provide better care with the help of predictive analytics. Big data also helps in reducing medication errors by improving financial and administrative performance and reducing readmissions. Big data in healthcare enables providers to deliver more accurate and personalized care treatment (Wang et al., 2018). By having a detailed picture of patients, it is easier to predict the response to a specific treatment. Lastly, big data offers the ability to manage information and use it to drive cost improvements. With insights from data analysis, healthcare organizations can identify areas where cost reductions can be made, whether related to admission rates, diagnostic tests, or operational procedures. Challenges and Risks There are huge challenges in big data in terms of data protection, collection, and sharing of health data and data usage. Issues such as privacy, security, standards, and governance are to be addressed. The security of big data contains the client’s personal information and their health history, and it is important to be protected from hacking and cyber theft. Finally, the size of big data can be a struggle to find effective ways to analyze and store it. (Thew, 2016). Mitigating a Solution Big data can be a huge change for a healthcare company and should be accepted by top management first and then down the ladder. IT departments need to organize more training and workshops to understand big data understanding and acceptance at all levels. Solution examples include daily census to plan staffing needs, use of electronic health records, provide alerts for care, reduce fraud, and enhance data security from cyber threats and misuse (Wang et al., 2018). References Glassman, K. S. (2017). American Nurse Today, 12(11), 45–47. Retrieved from https://www.americannursetoday.com/wp-content/uploads/2017/11/ant11-Links to an external site. Data-1030.pdf Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execsLinks to an external site.Links to an external site. Retrieved from https://www.healthleadersmedia.com/nursing/big-Links to an external site. data- means-big-potential-challenges-nurse-execs Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations Links to an external site.Links to an external site.. Technological Forecasting and Social Change, 126(1), 3–13.