Big Data Analytics Industry

 Big data and HIPAA always have severe challenges, including the data structure, big data on cloud computing systems, big data storage, cyber security of big data (including stored and on-fly), data standardization, and most importantly, data governance. (Kruse, 2016) HIPAA wants everything clear for sensitive patients' health information and personal privacy. HIPAA requires all database management, including big data providers, to create national standards to protect the patients' health records. On the other hand, big data plays a huge role in the life of biomedical science that is massively used to analyze for extreme better care and the health of society. This article explores the challenges in specific more than all benefits of using big data in the health care industry that must comply with HIPAA.

Big data structure 

Big data usage is measured by Exabytes (1018) and beyond, and still, there are many challenges to handling that volume of information online. Therefore, the structure of storing that much volume of data in online storage is another challenge. Moreover, that structure must comply with NIST and HIPAA regulations and policies.

Big data on cloud computing systems

Cloud computing is a default platform for big data. They go together as the cloud systems are used for data storage to analyze with on-demand access to the information by whoever needs the outcomes. (Muniswamaiah, 2019) So, this relationship between big data and cloud systems are input, processing, and output models. Cloud system providers must comply with HIPAA to ensure that the security and privacy of patients and health providers' measures are all in place.

There are five HIPAA security measures for cloud systems using big data, including:

1. Data must be encrypted in the cloud by the HIPAA policy.
2. Cloud systems must have two-factor authentication for extra security measures.
3. They must have access control in place as required by HIPAA policy.
4. Cloud systems must have data classification tools for both organizing health information and protecting sensitive data.
5. Cloud systems must keep all activity logs recorded by HIPAA regulations, including who is accessing data, what part of data has been accessed, when it has been accessed, for what purposes, authorized with who, and much other critical information. (Trends, 2021)

Reference

Kaisler, S., Armour, F., Espinosa, J. A., & Money, W. (2013, January). Big data: Issues and challenges moving forward. In 2013 46th Hawaii international conference on system sciences (pp. 995-1004). IEEE.

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), e5359.

Muniswamaiah, M., Agerwala, T., & Tappert, C. (2019). Challenges of Big Data Applications in Cloud Computing. In 9th International Conference on Computer Science, Engineering and Applications (CCSEA 2019). 9th International Conference on Computer Science, Engineering and Applications. Air Publishing Corporation. https://doi.org/10.5121/csit.2019.90918

Trends, M. (2021). You are being redirected. . . Analyticsinsight.Net. Retrieved 2022, from https://www.analyticsinsight.net/hipaa-compliance-big-data-and-the-cloud-a-guide-for-health-care-providers/