The Significance of Big Data Analytics in reducing Data Breaches and Scams in the Medical Industry
Eswar Siddharth Manivannan, Deepanjali Chandrasekaran, Akshaya Shree
Big Data Analytics, Healthcare 4.0, Data Breach, Fraud Management.
The advancements in data analytics have made it possible for analysts and healthcare workers to extract useful information and simulate clinical insights in such a network with respect to the availability of contemporary computer simulations in the healthcare industry. As per Fortified Health Security's mid-year report, there were 337 breaches in the medical sector within the initial half of 2022. Over 19 million records were involved in medical data breaches during the first half of the year. The health sector has become a prime target for those seeking to make quick cash using unethical means. Since life expectancy increases, it is projected that healthcare scams will become more prevalent. Fraud can be frequently resolved by big data, but perhaps employees make unintentional data entry errors. Despite the fact that such advancements undoubtedly increased the medical sector's efficiency, they have also given rise to various sets of issues involving patient data breaches. This paper describes the opportunities of big data analytics in the field of fraud detection in healthcare services and use of Machine Learning Algorithms to reduce data breach.
Article Details
Unique Paper ID: 157177

Publication Volume & Issue: Volume 9, Issue 6

Page(s): 195 - 201
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