September 24, 2026 - 18:08

Health insurance companies across the United States have quietly built artificial intelligence systems that decide whether patients receive medical care. These automated tools review claims and often reject them, sometimes without a human ever reading the file.
The problem is not that the technology exists. The problem is how it is used. Insurers have a financial incentive to deny claims, and AI makes that process faster and cheaper. Algorithms scan patient records, flag irregularities, and issue denials at a scale no human review team could match. Patients then face a maze of appeals, paperwork, and delays while their health worsens.
Doctors report growing frustration. Treatments they know are necessary get blocked by software that does not understand context. A cancer patient might be denied a scan. A chronic illness patient might lose access to a medication that has worked for years. The decision comes from a machine, but the consequence falls on a person.
Regulators have started to pay attention, but oversight remains thin. Many states do not require insurers to disclose how these systems work or how often they overturn human recommendations. Without transparency, patients have little power to challenge a denial that may have been generated in seconds by an algorithm trained to save money rather than save lives.
The debate is no longer about whether AI belongs in health care. It is already here. The real question is who answers when the machine gets it wrong.
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