Feb 23, 2024 NURS 6051 Big Data Risks And Rewards
NURS 6051 Big Data Risks And Rewards
NURS 6051 Big Data Risks And Rewards
The Big Data has significant benefits as well as challenges for the healthcare organizations. One of the benefits of the Big Data is that it provides health organizations and health care providers with real time data. Health organizations and healthcare providers benefit from real time data in a number of ways. Firstly, health organizations obtain up-to-data on any errors in their systems, enabling them to trouble shoot the errors before they can affect adversely the outcomes of care. Real time data from the Big Data therefore saves time, money, and resources that could have been used in responding to the threats of the errors (Kruse et al., 2016).
The Big Data also provides real time information on the trends and needs of the consumers of healthcare services. Health organizations can use this information to develop products and services that match the prioritized and perceived needs of their consumers. Real time data also benefits healthcare providers in that they can use it to make informed decisions on the care that the patients need and ways of meeting them (Pramanik et al., 2017).
Despite the above benefits, Big Data is associated with some challenges. One of them is data privacy. The Big Data relies on the use of vast amount of data from different sources for organizational benefit. The data is however at a risk of being used for other purposes that are not meaningful. There is also the risk of data loss from an organization to third parties threatening data privacy and confidentiality. Several strategies have been developed to address the risks associated with the Big Data on healthcare. One of them is the development of data protection and use guidelines for health organizations to ensure meaningful use of health data. There is also the use of provider training to ensure that healthcare providers have adequate knowledge and skills on the promotion of data integrity (Snyder & Zhou, 2019). Therefore, a consistent use of these strategies promotes safe use of the Big Data in health.
Struggling to Meet Your Deadline?
Get your assignment on NURS 6051 Big Data Risks And Rewards done on time by medical experts. Don’t wait – ORDER NOW!
Meet my deadline
References
Kruse, C. S., Goswamy, R., Raval, Y. J., & Marawi, S. (2016). Challenges and opportunities of big data in health care: A systematic review. JMIR Medical Informatics, 4(4), e38.
Pramanik, M. I., Lau, R. Y., Demirkan, H., & Azad, M. A. K. (2017). Smart health: Big data enabled health paradigm within smart cities. Expert Systems with Applications, 87, 370–383.
Snyder, M., & Zhou, W. (2019). Big data and health. The Lancet Digital Health, 1(6), e252–e254.
When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee.
Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS NURS 6051 Big Data Risks And Rewards:
There are a few benefits to using big data as a clinical system. One of the reasons for using gross data concerning research is that it usually incorporates multiple areas or groups of people and different backgrounds, states, and even countries. By utilizing such extensive data, you can consider a larger body of information, often vague and lacking in detail, with little research. Using a large research format and extensive data collection helps to identify trends in the study that are similar from individual to individual. Identifying these trends allows healthcare providers to create new protocols and new patient care techniques to care for our patients better and efficiently.
Although big data is beneficial in the sense of healthcare, it also comes with its complications and risks. In this form of data collection, you often face a considerable body of information to organize. Much information may be about something other than the research or hypothesis you may be identifying, so it may take some time to identify individuals who may align with the research you are placing.
I have utilized data-collecting techniques in the past. I have observed in my clinical experience that when doing research, there are many ways in which data collection can be done. Individuals utilize interviews to gather information but doing interviews may only sometimes be efficient, especially if your sample or research sample size is large. This is because if the group is large, it would often take some medicine amount of time and effort, if not multiple individuals, to complete the overall interview aspect of the research. Developing a survey or a questionnaire for individuals to fill out to the best of their ability is often a quick, efficient, and straightforward way to collect data quickly.
Over the past decade, there has been a greater emphasis on the involvement of registered nurses in the development and implementation of health information technology systems to maintain patient safety and improve the quality of care services. Today, electronic health records remain a great source of protected health information and clinical documentation during the provision of care services by registered nurses and other healthcare professionals (Reid et al., 2021).
The rapid deployment of EHR by healthcare organizations has created room for registered nurses to create digital versions of patient medical records and transform them into valuable clinical knowledge for preventing adverse events like patient falls and nosocomial infections, among many others. One of the greatest risks of utilizing big data from the digital versions of patient medical records is to maintain the integrity and quality of information system output (McGonigle & Mastrian, 2022).
For instance, the digital versions of patient medical records are prone to manipulation and misinterpretation due to weak information security measures and the lack of relevant knowledge and skills for maintaining data integrity and quality. Through regular education and training, registered nurses and other healthcare professionals develop the required nursing informatics competencies, like maintaining strong access credentials for clinical information systems and data encryption to prevent manipulation and unauthorized access.
References
McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
Reid, L., Maeder, A., Button, D., Breaden, K., & Brommeyer, M. (2021). Defining nursing informatics: A narrative review. Studies in Health Technology and Informatics, 284, 108–112. https://doi.org/10.3233/SHTI210680
Order a similar assignment, and have writers from our team of experts write it for you, guaranteeing you an A
