Big data impact on healthcare response 1.

Big data impact on healthcare response 1.


Big data is a huge collection of many data sources merged into a single, enormous data storage area (Thew, 2016). Big data is valuable as part of a healthcare system for a variety of reasons, but the most significant—and perhaps most important—benefit may simply be the advantage of enhancing patient care. Big data, in particular, can improve patient care through pattern detection following a comprehensive study of all acquired data (Wang, Kung, & Byrd, 2018). This would be advantageous to improving patient care because if trends are discovered based on data gathering, it may then aid in focusing the appropriate modifications to drugs, therapy, or other care choices.  An example would be with cancer patients because, being that cancer is a disease-specific to the cellular level within patients, the attainment of multiple data outlets and synthesis of it all could result in a uniquely developed treatment plan for each patient (Pastorino et al., 2019).


However, one challenge with large data in general is that it is sometimes impossible to precisely track everything and efficiently synthesize it all into the most important information. It’s tough and time-consuming to evaluate large amounts of data, especially if you’re attempting to access them all from different sources (Pastorino et al., 2019). One tactic I’ve noticed is the use of all of the technology available in hospitals and clinics these days. Because it facilitates the capture and storing of data electronically, the use of technology considerably reduces the burden of attempting to correctly acquire huge data.

Another example is the usage of technology worn by patients—such as monitors for diabetics. These are often connected to smartphone technology to monitor blood glucose levels remotely. The collection of all this data—from the constant fluctuations of glucose levels to the carbohydrate and insulin intakes, to everything else in between—is all able to easily be tracked and accurately documented via the same shared electronic devices. This easily facilitates the process and makes data collection, analysis, and pattern recognition all much more achievable. Thus, the ultimate goal of improved patient care is more attainable because you are being able to create more accurate and quality results from the data collected.


Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45–47. Retrieved from

Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S. (2019). Benefits and challenges of Big Data in healthcare: an overview of the European initiatives. European journal of public health29(Supplement_3), 23–27.

Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Retrieved from

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(1), 3–13. 


Big data on healthcare response 1

Scroll to Top
Scroll to Top