NURS 6051S Week 5 Discussion: Big Data Risks and Rewards
Benefit of using big data as part of a clinical system
Wang, Kung, & Byrd, 2018 stated that the use of big data helps “identify patterns of care” and provide “a broader view for evidence-based clinical practice” (p. 7). As previously mentioned in week 1, the VNA could greatly benefit from nursing informatics in using data to improve rehospitalization rates. For clinical systems and big data to start to notice patterns related to rehospitalization rates would benefit the patients and lead to improved patient outcomes. It would also benefit the VNA, as reimbursement from insurance is impacted by rehospitalizations and resources used during certification periods NURS 6051S Week 5 Discussion: Big Data Risks and Rewards.
Challenge of using big data as part of a clinical system
The use of big data as part of a clinical system has benefits as well as challenges. Often, chief nurse executives are “drowning in data” and become frustrated (Thew) (2016) NURS 6051S Week 5 Discussion: Big Data Risks and Rewards. There is pressure put on the nurses in processing the data to find not only ways to save establishments money but also to provide evidence-based care that improves patient outcomes. Ultimately this leads to taxing documentation, unmanageable and exhausting workflow, and monetary expenses are a few of the challenges (Clancy & Reed) (n.d.) NURS 6051S Week 5 Discussion: Big Data Risks and Rewards.
Strategy to mitigate the challenge
To effectively mitigate the challenges presented in using big data, nurses must get involved. It is important to be a part of the pilot of new technology and program in my experience. It is then just as important to join the team that evaluates the use of new technology and provides adequate feedback NURS 6051S Week 5 Discussion: Big Data Risks and Rewards. This has allowed advocating from a field clinician’s perspective as office staff and upper management often do not have a true sense of what direct patient care is truly like in homecare using technology. Currently, I am part of a pilot team for the use of Corridor in reviewing our admission, resumption of care, and discharge OASIS forms. Glassman, 2017 stated that it is important for nurses to participate in the entire process, from selecting technologies to providing feedback and areas for improvement, and I completely agree with this. NURS 6051S Week 5 Discussion: Big Data Risks and Rewards.
Clancy, T. R., & Reed, L. (n.d.). Big Data, Big Challenges Implications for Chief Nurse Executives. JOURNAL OF NURSING ADMINISTRATION, 46(3), 113–115. https://doi-org.ezp.waldenulibrary.org/10.1097/NNA.0000000000000307
Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45-47. Retrieved from https://www.myamericannurse.com/wp-content/uploads/2017/11/ant11-Data-1030.pdf
Thew, J. (2016). Big data means big potential, challenges for nurse execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-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. Technological Forecasting & Social Change, 126, 3–13. https://doi-org.ezp.waldenulibrary.org/10.1016/j.techfore.2015.12.019 NURS 6051S Week 5 Discussion: Big Data Risks and Rewards.
NURS 6051S Week 5 Discussion: Big Data Risks and Rewards Response 1
The availability of healthcare data is growing exponentially as electronic health records, the use of wearable devices, social media and internet use, and genomic information continue to expand (Gleason & Dennison Himmelfarb, 2017) NURS 6051S Week 5 Discussion: Big Data Risks and Rewards. Utilizing this information improves communication between the interdisciplinary team, patient care, and clinical decision-making, it increases the pressure and documentation workload for nurses and physicians and contributes to burnout. NURS 6051S Week 5 Discussion: Big Data Risks and Rewards
More than one-half of American physicians and one-third of nurses are experiencing symptoms of burnout, according to Cureus (Pittman, 2020). There is a significant amount of pressure on nurses to provide and analyze data which is a necessary and valuable job function, but it is taxing and time-consuming. Due to a large amount of documentation that is required we do not spend as much time with our patients as we would like, and this often leads to one feeling unfulfilled. Organizations need to prioritize the use of big data to prevent nurse and physician burnout. Utilizing data and predictive technology organizations are able to focus on workplace processes that can be improved, including staffing levels to help alleviate burnout NURS 6051S Week 5 Discussion: Big Data Risks and Rewards. Additionally, more needs to be done with data and technology to measure nurse competence and satisfaction, and patient education to measure the patient’s retention and ability to do what we teach them.
Gleason, K. T., & Dennison Himmelfarb, C. R. (2017). Big Data: Contributions, Limitations, and Implications for Cardiovascular Nurses. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393269/.
Pittman, M. (2020, December 17). How to Use Data to Decrease Nurse Burnout and Improve Patient Care. https://cleanhands-safehands.com/how-to-use-data-to-decrease-nurse-burnout-and-improve-patient-care/.
I enjoyed reading your discussion post and the association with rehospitalization rates. Just to add Big data “typically refers to a large complex data set that yields substantially more information when analyzed as a fully integrated data set as compared to the outputs achieved with smaller sets of the same data that re not integrated” (Thew, 2016)
I must say I agree that there is pressure put on the nurses in processing data and it can be very frustrating. The consequences are unnecessary increases in medical costs and time for both patients and healthcare service providers. Thus, healthcare organizations are seeking effective IT artifacts that will enable them to consolidate organizational resources to deliver a high-quality patient experience, improve organizational performance, and maybe even create new, more effective data-driven business models (Wang, Kung, & Byrd, 2018) NURS 6051S Week 5 Discussion: Big Data Risks and Rewards
Thew, J. (2016, April 19). Big Data Means Big Potential, Challenges for Nurse Execs. Retrieved December 29, 2020, from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs
Wang, Y., Kung, L., & Byrd, T. A. (2018, January). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Retrieved December 29, 2020, from https://www-sciencedirect-com.ezp.waldenulibrary.org/science/article/pii/S0040162516000500?via=ihub
Discussion: Big Data Risks and Rewards
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.
From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth NURS 6051S Week 5 Discussion: Big Data Risks and Rewards.
As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.
- Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.
- Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.
By Day 3 of Week 5
Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples.
By Day 6 of Week 5
Respond to at least two of your colleagues* on two different days, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.
Big Data Risks and Rewards
Big data refer to the large data sets that yield considerable facts when evaluated as a fully cohesive data set equaled to the smaller groups of the same data output that is not incorporated. Data is a universal concept of the work of chief nurse executives. The Chief Nurse Executives use the contexts when routinely collecting, storing, processing, and analyzing large amounts of data in the clinical settings. NURS 6051S Week 5 Discussion: Big Data Risks and Rewards
Big data is a sensitive issue for the clinical system because its availability can benefit medical and healthcare operations. The big data approach is essential in improving evidence-based healthcare decisions and patient outcomes (Wang et al., 2018). Big data contributes to healthcare processes in the clinics by increasing diagnosis, quality, and effectiveness of treatments, predicting the patient outcome, and improving pharmacovigilance and patient safety. Also, the big data have a potential benefit of helping in identification and promptly intervening the effective ways of managing the high risk and high-cost data of patients that facilitate the precision services that enable the detection of patient responses to tailoring and treatments to the healthcare needs (Bates et al., 2014). Thus, all these benefits are crucial in reducing efficiency by improving the clinical system’s cost containment.
However, the big data has challenges such as lacking standardization and consumes more time because the process is labor-intensive to the chief nurse executives (Thew, 2016). The process is intensive because, in the evaluation, they do not call the units, name the data, and define the data in the same way. For instance, when analyzing specific data, the definition varies from one system to another. Lack of data standardization makes the chief nurse executives experience hardships in assessing how the clinic is conducting its processes to try to develop solutions to the areas that require changes.
Therefore, big data is a potential factor in the clinical system, but the challenges need to be appropriately addressed to ensure its effectiveness. The chief nurse executives should ensure data standardization by making sure that the data is internally consistent. NURS 6051S Week 5 Discussion: Big Data Risks and Rewards That is by making each data type to have the same format and content. The standardization will ease analyzing big data by allowing collaborative, shared methodology and large-scale analytics that consume less time.
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131.
Thew, J. (2016,April 19) Big Data Means Big Potential, Challenges for Nurse Execs. Health Leaders. Retrieved from: https://www.healthleadersmedia.com/nursing/big-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. Technological Forecasting and Social Change, 126, 3-13. NURS 6051S Week 5 Discussion: Big Data Risks and Rewards