Fraud analytics is the efficient use of data analytics and related business insights developed through statistical, quantitative, predictive, comparative, cognitive, and other emerging applied analytical models for detecting and preventing healthcare fraud. 

Large number of fraudulent activities in healthcare, increasing number of patients seeking health insurance, high returns on investment, and the rising number of pharmacy claims-related frauds. However, the dearth of skilled personnel is expected to restrain the growth of this market. 

The global healthcare fraud analytics market is facing a plethora of challenges. Travel bans and quarantines, halt of indoor/outdoor activities, temporary shutdown of business operations, supply demand fluctuations, stock market volatility, falling business assurance, and many uncertainties are somehow exerting a partial negative impact on the business dynamics. 

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The healthcare industry has been witnessing a number of cases of frauds, done by patients, doctors, physicians, and other medical specialists. Many healthcare providers and specialists have been observed to be engaged in fraudulent activities, for the sake of profit. In the healthcare sector, fraudulent activities done by patients include the fraudulent procurement of sickness certificates, prescription fraud, and evasion of medical charges. 

Over the years, the number of people benefitting from various healthcare schemes has grown considerably. A couple of reasons contributing to the growth of the health insurance market include the rise in the aging population, growth in healthcare expenditure, and increased burden of diseases. 

The healthcare industry is changing at an incredible rate, and one of the major contributors to this change is the increasing popularity of healthcare communication through social media. 

Descriptive analytics forms the base for the effective application of predictive or prescriptive analytics. Hence, these analytics use the basics of descriptive analytics and integrate them with additional sources of data in order to produce meaningful insights. 

Key Market Players In Healthcare Fraud Analytics :-

The prominent players in this market are IBM Corporation (US), Optum, Inc. (US), Cotiviti, Inc. (US), Change Healthcare (US), Fair Isaac Corporation (US), SAS Institute Inc. (US), EXLService Holdings, Inc. (US), Wipro Limited (India), Conduent, Incorporated (US), CGI Inc. (Canada).