Impact Of Big Data On Clinical Systems Essay Assignment
Impact Of Big Data On Clinical Systems Essay Assignment
Big data in healthcare has become common in today’s tech-driven world and health industry. It describes the ever-growing volumes of information resulting from the innovation adoption and utilization of digital technologies in healthcare delivery practices such as recording and storing patient records (McGonigle & Mastrian, 2017). The increasing adoption of digital technologies such as wearable devices has increased the amount of data available hence increasing the demand for tools to record and analyze the complex data collected. The growing use of big data facets leads to the generation of data-driven healthcare solutions, impacting patient outcomes in diverse ways. There are positives and negatives related to using big data as part of clinical systems. Impact Of Big Data On Clinical Systems Essay Assignment
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According to Dash et al. (2019), it has become unavoidable for nurses and other healthcare professionals to act as data architects and visionaries to influence outcomes that are beneficial to the nursing profession. One of the significant benefits of big data as part of a clinical system is that it enhances continuity. This means it is easy to track the patients’ processes through the healthcare process. For example, when patients check in to the time they are discharged. Different data collected from labs, imaging, and specialized tests can be compiled into one patient report, providing patients with efficacy and a cost-saving approach for integrated care plans. Impact Of Big Data On Clinical Systems Essay Assignment
Despite the overarching benefits of big data, several challenges hindered its smooth adoption into clinical systems. One major challenge is the lack of data standardization, reducing usability and integration of different data sets. According to Thew (2016), adopting big data in clinical systems is faced with large volumes of data being collected with each data set in diverse languages, which in turn needs a translation to be usable. This issue makes it hard for healthcare professionals to understand or make well-informed decisions due to limited integration.
In order to address the identified big-data-related issues, ample training among the professionals is required. Coupled with the installation of data mining tools, health workers training such as nurses and other healthcare data users could quickly analyze data, making it easier to use in data-driven decision-making (McGonigle & Mastrian, 2017). Addressing the identified challenge motivates health workers and ensures time and cost-saving, hence better healthcare outcomes.
References
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis, and future prospects. Journal of Big Data, 6(1). https://doi.org/10.1186/s40537-019-0217-0
McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th Ed.). Burlington, MA: Jones & Bartlett Learning. Impact Of Big Data On Clinical Systems Essay Assignment
Thew, J. (2016, April 19). Big Data Means Big Potential, Challenges for Nurse Execs. HealthLeaders Media. Retrieved June 23, 2022, from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs
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.
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To Prepare: Impact Of Big Data On Clinical Systems Essay Assignment
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.
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