Insurance company repeatedly denied Concord woman’s medical claim, then AI delivered victory
Health insurance giant
The situation may be unsurprising for many of those with health insurance. Health care consultancy Premier pegged the national medical claims denial rate at 15% in 2023, while independent research group KFF found insurers that sell policies under the Affordable Care Act denied one in five claims that year.
Gonzalves, however, had an advantage over many policyholders: She has a doctorate in a medical field and has worked for large health care companies for years as a clinician and scientist.
Still, she spent almost two years working to get the bill canceled, and in the end, only found rescue in an AI bot.
In a statement,
The free conversational bot Gonzalves, 39, used for help in defending the insurance coverage for her son’s care in the hospital nursery identified a federal law and other information that supported her claim. It’s one of two primary offerings from Counterforce, a
Counterforce’s flagship product, also free, produces AI-generated letters of appeal, to be sent to insurance companies by patients fighting denials.
The platform was co-founded by
“It’s absurd how many people are fighting insurance denials,” Shah said.
It appears that it’s getting worse. In a survey of 200 executives and managers at health care providers — which are reimbursed by insurers for authorized patient care claims — consumer-credit and data company Experian found that in 2024, more than three-quarters said denials were rising. Fewer than half gave that response in 2022.
Insurance companies increase profits by refusing to pay initial claims, under a “Let’s deny, and see what you do” approach, Shah said.
In
“In fact, over 85 percent of medical services and 75 percent of pharmacy services are approved immediately,” the group said this week. “When a claim is denied, it’s most often due to incomplete information that needs clarification. Most denied claims are quickly resolved.”
Shah, who works as a principal investigator at the Johns Hopkins Artificial Intelligence Collaboratory for
Gonzalves gave birth to her son Grant in
“It makes you want to pull your hair out,” Gonzalves said. “It’s so frustrating. It was so stressful.”
Meanwhile, she’d had twins, Fiona and Lucas, now 2.
“We had three under three and I’m literally having to fight this claim while I’m on maternity leave with my twins,” said Gonzalves, a medical social worker at
Then, earlier this year, a nurse friend who was doing consulting work for Counterforce suggested the app, and Gonzalves tried out its AI assistant, Maxwell.
The bot identified issues related to timing of billings and denials, and highlighted a federal statute concerning newborns’ coverage under mothers’ policies, essentially telling her, “These are all the reasons you should keep fighting this,” Gonzalves said.
Gonzalves also used ChatGPT, asking the chatbot how to escalate a grievance with
Insurance company denials, Shah said, should be taken as the starting point of a negotiation.
“The vast majority of the time the person is thinking, ‘I don’t have options now,'” Shah said. “Most people view it as a finality.”
Patients using the Counterforce appeal-letter generator upload the denial letter from their insurer, their policy documents, and any other relevant materials. The app’s AI — trained on thousands of successful appeal letters, plus insurance billing codes, and information from peer-reviewed medical journals, clinical guidelines, and state and federal regulations — scans relevant medical literature, insurance policy language, and appeal regulations, then produces an appeal letter the patient can send to the insurer, Shah said.
Because Counterforce doesn’t solicit results from users, Shah said he doesn’t know its success rate. But a rheumatology clinic that uses the app dozens of times a week reported success nearly three-quarters of the time, he said.
It remains to be seen whether Counterforce could boost the number of successful appeals, but such technology could help patients understand insurance processes that are, Polyakova said, “not particularly user friendly, in fact maybe the opposite.”
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