Healthcare Fraud Detection Market - Growth, Trends, Covid-19 Impact, and Forecasts (2023 - 2028)

Healthcare Fraud Detection Market - Growth, Trends, Covid-19 Impact, and Forecasts (2023 - 2028)

The Healthcare Fraud Detection market is expected to grow at a CAGR of 24.59% during the forecast period (2022-2027).

Since the COVID-19 pandemic started, it has drastically affected the healthcare industry. While some markets in the industry have shown a downfall, some have shown increased growth. The healthcare industry has witnessed several fraud cases committed by patients, doctors, physicians, and other medical specialists. It was observed that many healthcare providers and specialists are engaged in fraudulent activities for profit. Many instances prove the increasing number of fraud cases during the pandemic. The Justice Department’s False Claims Act Settlements and Judgments exceeded USD 5.6 billion in 2021, and it was the second-largest amount recorded since 2014, and of the amount settled, over USD 5 billion in matters related to the health care industry, which includes drug and medical device manufacturers, managed care providers, hospitals, pharmacies, hospice organizations, laboratories, and physicians, among others. Such factors boosted the adoption of healthcare fraud detection solutions, thereby driving the market’s growth over the pandemic phase.

Furthermore, the major factors driving the growth of the market are the rising healthcare expenditure; the increasing number of patients opting for health insurance; growing pressure to increase operational efficiency and reduce healthcare spending, and surging fraudulent activities in the healthcare sector globally.

An increasing number of providers are billing and claiming federal health care programs for medically unnecessary services or services not rendered as billed. For instance, in May 2021, SavaSeniorCare LLC and its subsidiaries agreed to pay a settlement amount of USD 11.2 million for alleged false claims for rehabilitation therapy services that they provided because of aggressive corporate targets without respecting the patients’ clinical needs. Likewise, Alere billed and caused others to charge for defective rapid point-of-care testing devices, which were used by Medicare beneficiaries to monitor blood coagulation when taking anticoagulant drugs, and for this, the company paid USD 38.75 million as a settlement as per the source mentioned above. These increasing fraudulent activities in the healthcare industry are increasing the demand for healthcare fraud detection services and solutions, which is positively affecting the growth of the market.

Additionally, in the upper-income countries, healthcare expenditure was observed to be equally distributed, resulting in the overall development of the healthcare system. On the contrary, people in the low- and middle-income countries have to pay from their own pockets due to less contribution from the governments toward healthcare expenditure which is resulting in more healthcare fraud, and this is proportionally increasing the demand for healthcare fraud detection solutions.

Thus, the market is expected to project growth over the forecast period. However, the lack of adoption of healthcare fraud analytics may hamper the growth of the market.

Healthcare Fraud Detection solutions play a major role in the review of insurance claims, as most fraud cases occur while claiming insurance. In healthcare insurance fraud, false information is provided to a health insurance company to have them pay unauthorized benefits to the policyholder or the service provider. Machine learning techniques help in improving predictive accuracy and enable loss control units to achieve higher coverage with low false-positive rates. Moreover, the quality and quantity of the available data have a huge impact on the predictive accuracy compared to the quality of the algorithm.

Globally, various organizations, such as the Insurance Fraud Bureau of Australia (IFBA), the Canadian Life and Health Insurance Association (CLHIA), the NHS Counter Fraud Authority (NHSCFA), and the European Healthcare Fraud & Corruption Network (EHFCN), among others, aim to reduce healthcare insurance fraud. The growing interest of the government and private sectors in the review of healthcare insurance claims to save individuals and nations money is driving the growth of the segment.

The Insurance Regulatory and Development Authority of India (IRDAI), annual report 2021, reported that, globally, the share of life insurance business in total premium was 44.5%, and the share of non-life insurance premium was 55.5% in 2020, but India's share of life insurance business was high, and it was at 75.24%, while non-life insurance for non-life business accounted for only 24.76%. This high number of health care life insurance claims has been increasing the demand for solutions in reviewing the insurance claim segment.

Therefore, the increasing number of insurance claims by patients, family members, companies, and others is increasing the demand for the review of the insurance claims segment over the forecast period.

North America is expected to dominate the overall market throughout the forecast period. This is due to increasing healthcare spending, rising healthcare IT adoption, and the growing number of fraud cases in the healthcare industry.

The National Health Care Anti-Fraud Association (NHCAA) website Consumer Information section, updated in 2021, stated that every year United States spends over USD 2.27 trillion on health care. An NHCAA estimate shows that USD 10 billion is lost to health care fraud, and USD 54 billion is estimated to be scammed and stolen every year in United States. These activities and the loss of wealth in the form of fraud and illegal activities make healthcare fraud the biggest problem in the country. This is expected to drive the demand for healthcare fraud detection solutions over the forecast period.

Additionally, in June 2021, Artivatic launched the ALFRED-AI HEALTH CLAIMS platform for automating end-to-end health claims, and its fraud and abuse detection capacity is 30% or more. The ALFRED-AI HEALTH CLAIMS platform also allows users to self-learn and evolve a system for better risk assessment, fraud detection, and decision-making.

Thus, owing to the availability of numerous advanced services and solutions related to healthcare fraud detection and strategic steps taken by major players present in the country, the market for healthcare fraud detection is expected to bolster within the North American region.

The Healthcare Fraud Detection market is moderately competitive and consists of several major players. In terms of shares, a few of the major players currently dominate the market. With the rising adoption of healthcare IT and the increasing number of fraud cases, a few other smaller players are expected to enter the market in the coming years. Some of the major players in the market are CGI Inc., DXC Technology Company, ExlService Holdings, Inc. (Scio Health Analytics), International Business Machines Corporation (IBM), McKesson Corporation, Northrop Grumman, OSP Labs, SAS Institute Inc., RELX Group plc, and UnitedHealth Group (Optum Inc.), among others.

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