Some might consider medical health insurance fraud as a victimless crime, however it’s hitting People the place it hurts: their wallets and their high quality of care.

That’s based on Karen Weintraub (pictured), president of Healthcare Fraud Protect.

“For those who look on-line, particularly from authorities reporting from Medicare and Medicaid, [health insurance fraud] is over $100 billion, however for those who begin to incorporate business information, you’re in all probability taking a look at method over $200 billion in potential fraud, waste and abuse,” Weintraub mentioned.

Unhealthy actors concerned in medical health insurance fraud might use the proceeds to splurge on larger homes, planes and different luxuries. In the meantime, their fraudulent positive factors translate to “better premiums for different individuals”, Weintraub mentioned.

Medical insurance fraud also can put affected person high quality of care in jeopardy.

“They’re treating a affected person for one thing that they don’t want, and may truly be harming them,” Weintraub mentioned. “Within the information, there was a hematologist/oncologist named Farid Fata who was treating sufferers as if that they had most cancers and truly giving them chemotherapy and inflicting a complete host of issues.”

In 2015, Detroit-area MD Fata was sentenced to 45 years in jail for his function in a healthcare fraud scheme that included administering medically pointless infusions or injections to 553 particular person sufferers and submitting to Medicare and personal insurance coverage corporations to the tune of $34 million in fraudulent claims.

In an interview with Insurance coverage Enterprise, Weintraub spoke about how the adoption and use of AI can contribute to medical health insurance fraud and, conversely, how this expertise also can resolve the historic drawback of detecting fraud, waste and abuse if applied accurately.

How suppliers can use AI to commit medical health insurance fraud

AI hype has labeled it a transformative device that may streamline and increase an organization’s inner and exterior operations, however it might additionally function an insurance coverage fraudster’s ally.

“From a supplier perspective, I see extra [use of AI] – they’re doubtlessly utilizing AI to generate medical information, which makes it extra of a problem for these of us who analyze information and overview medical information to find out whether or not companies are acceptable,” Weintraub mentioned. “Now we’re taking a look at AI to detect AI.”

One of many primary issues with adopting AI or different generative language fashions like ChatGPT is the necessity for extra scrutiny in the direction of information hygiene and ensuring the data that’s inputted and extracted from these applied sciences is appropriate.

“Generative AI could be what suppliers are utilizing to generate content material of their medical information – there’s execs and cons to that it will probably actually be a time saver, however it’s but to be confirmed to be absolutely correct,” Weintraub mentioned. “Not solely is it producing information that will or might not characterize precise companies which can be rendered, however it could be utterly fabricating issues, leading to what is named ‘hallucinations.’”

How AI can be utilized as a device to catch medical health insurance fraud

AI poses a menace and a problem, however it additionally affords potential advantages.

“I’ve seen loads of healthcare distributors come and go,” Weintraub mentioned. “Analytics is nice expertise however actually having a deep understanding of the complexities and the nuances of healthcare varies by payer, state, line of enterprise, and product kind comparable to Medicare versus Medicaid versus business, and inside business plans, there’s so many various variations and coverages, there’s no consistency.”

AI that has the flexibility to take these information nuances and analyze it at a a lot bigger scale is how AI might show very useful by taking all these complexities and determining issues that the human eye wouldn’t essentially be capable of pinpoint.

“The human eye can take a look at the output of the AI, and know whether or not that is sensible or not,” Weintraub mentioned. “If the info isn’t proper, then the AI output isn’t not proper – you’ve acquired to know that, and if some purchasers have unclean information, that’s going to impression the outcomes of any analytics, not simply AI.”

Weintraub is optimistic that AI can nonetheless be an enormous assist whether it is approached with warning and scrutiny.

“With the usage of our personal AI to assist detect information nuances and potential fraud, we discovered issues that our conventional focused analytics haven’t recognized, Weintraub mentioned. “It may undoubtedly discover pockets of issues which can be rising, or issues that we’re simply not conscious of,” she added.

Weintraub has more and more seen completely different corporations develop AI governance committees to verify information is used ethically, responsibly and appropriately.

“I feel you’re going to begin to see slightly bit extra scrutiny, not simply inside payer organizations and insurance coverage corporations, however throughout the distributors that they use as effectively,” she mentioned.

Do you suppose AI can be utilized to assist medical health insurance fraud? Pontificate within the feedback.