Mitigating Big Data Risks in Healthcare

Your discussion offers useful insights into the issue of big data in healthcare. The mitigation strategy caught my attention considering that risk management in big data is a serious concern. In addition to the strategy you have highlighted, it is important to acknowledge that several approaches can be adopted. Researchers such as Xafis et al. (2019) recommend the implementation of an ethics framework that entails values shared among the users of big data that help in policymaking. Ethical decision-making in big data means all personnel behave responsibly when use, re-use, access and sharing medical and patient information. Many of the dangers of big data are associated with human factors, and an ethics framework mitigates such risks.

Further efforts can also be taken into account when mitigating big data risks. According to Witjas-Paalberends et al. (2018), best practices such as building protocols for data acquisition, processing, and analysis are critical. Set procedures imply that each user goes through specified steps that can be monitored and controlled to make sure only authorized access and use of big data is permitted. Additionally, any malicious use can be detected in advance and the necessary measures can be taken to avert any damage.

Your discussion is important because it offers an insight into how a real-life firm handles big data risk management. The two mitigation strategies I have added to yours are intended to show that the subject can be quite broad and can be approached from many angles. The most important element, however, is to understand where the hazards emanate and to develop the necessary security frameworks for protection. Even though I have not used any supporting data, the argument that people pose the greatest threats to information safety shows where the focus of mitigation strategies should be.


Witjas-Paalberends, E., Van Laarhoven, L., Van de Burwal, L., Feilzer, J., Swart, J., Claasses, E., & Jansen, W. (2018). Challenges and best practices for big data-driven healthcare innovations conducted by profit–non-profit partnerships – a quantitative prioritization. International Journal of Healthcare Management, 11(3), 171-181. Web.

Xafis, V., Schaefer, O., Labude, M., Brassington, I., Ballantyne, A., Lim, H.,… Tai, S. (2019). An ethics framework for big data in health and research. Asian Bioethics Review volume, 11(3), 227-254. Web.

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