According to experts, though the size of the U.S. healthcare industry is nearly $2.7 trillion, much of the revenue is wasted through mismanagement and fraud. Some of the common fraudulent behaviors include illegal medical billing practices that falsify claims, claiming of multiple claims by different providers for the same patient, stealing of patient identities to gain reimbursement for medical services, patients and dishonest providers coming together to make false claims and sharing the monetary gains.

Different segments of healthcare fraud detection market and growth implications:

The healthcare fraud detection market has been segmented into type, component, application, delivery model and end user.

Apparently, fraudulent billing leads to nearly 3%-10% of annual healthcare costs in the U.S. To restrain this increasing tendency for healthcare fraud, government as well as private agencies are resorting to solutions based on AI and predictive analysis that is expected to add impetus to healthcare fraud detection market. The global healthcare fraud detection market is expected to register a CAGR of 28.83% to reach USD 3,787.68 million by 2024.

Healthcare fraud detection market classification on the basis of descriptive analytics, prescriptive analytics and predictive analytics. These methods are used to mitigate various types of healthcare frauds. For instance, descriptive analytics analyzes historical data to scrutinize the changes. It reflects total revenue generated per patient, monthly sales growth and yearly pricing changes, thus precise maintenance of related records. Since the information can analyze the revenue cycle it is considered an efficient means of healthcare fraud.

Predictive analytics is yet another type of fraud detection technique that is built upon past data which includes fraud or non-fraud indicators as well as different elements such as bill amount, number of patients, treatment characteristics, years of experience of the doctor, reporting lags and the number of patient visits.

Based on component, the market has been bifurcated into services and software. By application healthcare fraud detection market is classified as payment integrity and insurance claims review. End-user classification of healthcare fraud detection market comprises public or government agencies, private insurance payers and third-party service providers.

North America to hold a significant share in healthcare fraud detection market

Healthcare fraud detection market has been classified geographically as the Americas, Europe, Asia Pacific and the Middle East Africa.

The Americas accounted for a market share of 49.97% in 2018. Healthcare fraud has been rampant in the U.S. and recently the nation’s federal authorities have reported on breaking up a $1.2 billion Medicare scam through which fraudsters were peddling orthodontic braces to senior patients irrespective of whether they needed it. Apparently the scam was spread over various continents. Officials had been able to crackdown on the ring of fraudsters with the use of techniques used by credit card companies. As a result, the healthcare fraud detection market in North America has been growing at a significant pace.

Competitive Landscape:

Some of the significant players in the healthcare fraud detection market include IBM, DXC Technology Company, FAIR ISAAC Corporation, UNITEDHEALTH group, WIPRO LIMITED, LEXISNEXIS, EXLSERVICE Holdings, McKesson Corporation, Inc., SAS Institute Inc., CGI INC. and COTIVITI INC.