1. Discussion: Data in Healthcare Community Response
Discussion: Data in Healthcare Community ResponseDiscussion: Data in Healthcare
Community ResponseCLICK HERE TO ORDER YOUR ASSIGNMENTMain PostA collection of
data can be beneficial to any clinical system. Collecting more data brings more knowledge,
greater insights, smarter ideas, and ample opportunities for organizations to learn from
their own data (McGongile & Mastrian, 2017). There is one potential benefit for using big
data and that is the more data you have, the more knowledge you can receive. By having
large amounts of data at your fingertips can decrease the potential need for additional
information.The use of big data can also bring risk to a clinical setting. As Thew states in the
article, synthesizing the data is usually done manually which can become very time
consuming and lead to a laborious process (Thew, 2016). Manual collection of any data can
lead to misinterpretations which then can lead to misdiagnosis and wrong treatments.After
researching ways to mitigate potential challenges on the use of big data, an article by M.
Adibuzzaman, P. DeLaurentis, J. Hill, and B. Benneyworth state the need for additional time
stamped data (Adibuzzaman et al., 2017). This would include time stamps on all healthcare
interventions such as every medication given, every doctor visit, and ever assessment. To be
able to identify more clearly within a time frame can be beneficial in the patients’ healthcare
timeline. They suggest the need for larger cohort of institutions to share complete, precise,
and time stamped data better be able to share patients information and
research.ReferencesAdibuzzaman, M., DeLaurentis, P., Hill, J., & Benneyworth, B. D. (2018).
Big data in healthcare – the promises, challenges and opportunities from a research
perspective: A case study with a model database. AMIA … Annual Symposium proceedings.
AMIA Symposium, 2017, 384–392.McGonigle, D., & Mastrian, K. G. (2017). Nursing
informatics and the foundation of knowledge(4th ed.). Burlington, MA: Jones & Bartlett
Learning.Thew, J (2016, April 9) Big data means potential, challenges for nurse
execs.Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-big-
potential-challenges- nurse-execsREPLY QUOTE EMAIL AUTHOR5 mins agodoneseen5 mins
agoKrystal EspinosaRE: Discussion – Week 4COLLAPSE“Big data refers to the voluminous
amounts of data collected and stored every second of every day” (McGonigle & Mastrian,
2018). The data is collected by the by all the devices we use in our every day life whether it
be personal or professional. Big data in health care can have many different benefits such as
organized documentation and improving patient outcomes. It also allows the
interdisciplinary team to be able to access patient information remotely at any time. “As
data mining evolves, we have not only become able to navigate our data in real time but
2. have also progressed beyond mere access to retrospective data with navigational
improvements” (McGonigle & Mastrian, 2018). It is becoming increasingly more used in
nursing whether it be in learning, practice, or research. By utilizing big data to his highest
potential then nursing can advance the promotion of human health. The quick access to
medical records and other information regardless of location is the biggest pro to big data.
“The promise with big data is that we will quickly be able to move towards prescriptive
analytics where we will be able to provide information that will give us knowledge and
suggest interventions, or the capability to do something about a predicted upcoming event”
(Thew 2016).Some of the negatives of big data are that there can be missing information.
Since this is being manually put it there is room for error. It is important that the
information being put in is correct and complete since others will be able to access this
information for various reasons. By having missing information or incorrect information
this can lead to misdiagnosis, which can be extremely dangerous for patients.One way to
challenge the possible downside of big data is to properly train and educate on the
importance of providing accurate information. Since big data will be used by all it is
essential for healthcare workers to properly document.Resources:McGonigle, D., &
Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge(4th ed.).
Burlington, MA: Jones & Bartlett Learning.Thew, J (2016, April 9) Big data means potential,
challenges for nurse execs.Retrieved from
https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-
nurse-execsWang, 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(1), 3–13. doi:10.1016/j.techfore.2015.12.019.
