Discussion: Big Data Risks and Rewards

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Solution to Discussion: Big Data Risks and Rewards

            The use of Big Data in the healthcare sector has increased dramatically following advancements in technology (Ehrenstein et al., 2017). This technology allows healthcare providers to extract, analyze, and process particular data from an extensive and complex data set. This discussion presents risks and rewards associated with Big Data.

Big Data Rewards

Big Data accrues a wide range of benefits to the healthcare sector. First, it enables medical professionals to provide quality and efficient patient care (Kruse et al., 2016). Big Data enables clinicians to make exact predictions during the treatment process based on one’s current health condition and analysis of past medical history and algorithms, which indicate previous diagnosis and lifestyle. Secondly, Big Data enables healthcare providers to detect potential drug abuse incidents based on analysis of tests and medical verdicts and their findings. Thus, practitioners avoid medicine abuse, improving the safety of patient care and the overall health outcomes.

Big Data Risks

On the contrary, the use of Big Data in the healthcare sector is associated with various risks. First, the use of Big Data is associated with privacy and security vulnerabilities (Alexandru et al., 2018). Individuals’ health-related information collected for treatment purposes is misused, such as being posted on social media platforms, compromising one’s privacy and security. Furthermore, Big Data is attributed to the risk of medical staff being laid off. This technology in healthcare organizations reduces the number of staff members, rendering some healthcare workers jobless.

Overall, the use of Big Data in the healthcare sector is associated with rewards and risks. Rewards include improving the quality and efficiency of patient care and enabling healthcare providers to detect potential drug abuse incidents. On the other hand, risks include privacy and security vulnerabilities and medical staff being laid off.

References

Alexandru, A. G., Radu, I. M., & Bizon, M. L. (2018). Big Data in Healthcare-Opportunities and Challenges. Informatica Economica, 22(2).

Ehrenstein, V., Nielsen, H., Pedersen, A. B., Johnsen, S. P., & Pedersen, L. (2017). Clinical epidemiology in the era of big data: new opportunities, familiar challenges. Clinical epidemiology, 9, 245.

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.