We know that many challenges and benefits are there with the use of big data analytics in the industry of e-healthcare. In this discussion, I would like to choose data analysis. I am going to explain the challenges as well as advantages of data analysis. By analyzing the data we can keep track of the record that is related to the patients. The heart rate, blood pressure, and various other things can be analyzed from the e-healthcare industry. By analyzing the data the quality of the data can be improved and also it will be benefited the patients and also other people. This will eliminate the duplicated data from the sets of data and will save give amounts of space of memory. By examining the data the cost can also be minimized (Goyal, Goyal, Rekha, Malik, & Tyagi, 2020).
The growth of data is a major challenge in the e-healthcare industry. Shortage of proper understanding of data is another challenge. Not only analyzing the data but also maintaining security for the data will be a crucial challenge. In the e-healthcare industry, the analysis of data will assist in determining the penetrations on the methodical consumption of sources. This can also trace the performance of an individual. The health of the patients can also be traced by using data analysis. The people who are at risk for many chronic diseases can also be found. The cost of treatment can also be minimized and the forecast of the outbreaks of risks can be done by data analysis. The quality of life of the people can be improved and many harmful diseases can also be prevented. Ever-changing data is another challenge that will be faced when analyzing the data (Shamila, Vinuthna, & Tyagi, 2019).
Big data is enormous amounts of information that can be used to do wonders. It is the leading domain in the current data world, and many companies are implementing it to improve their business. Many public and private sector industries generate vast amounts of data, store and analyze big data to improve their services. In the healthcare industry, multiple sources for big data are generated through hospital patient records, medical records of patients, results of medical tests, and data generated by devices that are a part of the internet of things (Dash et al., 2019). In addition, biomedical research also generates a significant portion of big data relevant to public healthcare. This data requires proper management and analysis to derive meaningful information.
Storing a large volume of data is one of the primary challenges, but many organizations are comfortable with data storage on their premises. It has various benefits like control over security, access, and product up-time. However, an on-site server network can be expensive to scale and difficult to maintain. It appears that with decreasing costs and increasing reliability, cloud-based storage using IT infrastructure is a better option which most healthcare organizations have opted for. To handle this storage limitation, organizations must choose cloud partners that understand the importance of healthcare-specific compliance and security issues. Additionally, cloud storage offers lower up-front costs, nimble disaster recovery, and easier expansion. Organizations can also have a hybrid approach to their data storage programs, which may be the most flexible and workable approach for providers with varying data access and storage needs.
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