AI decides who gets medical care
healthcare
| Source: HN | Original article
Health insurers across six U.S. states are using AI algorithms to approve or deny claims, directly shaping patients’ access to medical care.
Health insurers are increasingly letting artificial‑intelligence systems decide whether patients receive treatment, a shift that is already sparking lawsuits and regulatory concern. UnitedHealth Group, the nation’s largest insurer, has been accused of using AI‑driven claim‑review tools to deny payments even when doctors deem care necessary, prompting a class‑action suit that alleges the technology puts patients’ health at risk.
The practice is not limited to a single market. A pilot program rolled out in six states – Washington, Arizona, New Jersey, Ohio, Oklahoma and Texas – shows Medicare enrollees receiving AI‑generated determinations on the eligibility of specific treatments. In those jurisdictions, the algorithm’s output can block coverage with a single keystroke, leaving patients to appeal decisions that were never reviewed by a human.
Why this matters goes beyond individual denials. The opacity of “coverage algorithms” makes it difficult for patients and providers to understand the criteria driving refusals, raising concerns about bias, errors and the erosion of clinical judgment. As insurers lean on automated tools to cut costs, the stakes rise: a denied claim can mean delayed or foregone care, with tangible impacts on health outcomes. The legal challenge against UnitedHealth underscores a growing pushback from consumers and advocacy groups demanding transparency and accountability.
What to watch next includes heightened scrutiny from regulators and legislators, especially as the Medicare hack uncovered earlier this year highlighted vulnerabilities in AI‑enabled health systems. Courts will weigh the class‑action’s merits, while state and federal agencies may consider new rules governing algorithmic decision‑making in health insurance. Industry observers will also track whether insurers adjust their AI deployment strategies in response to mounting legal pressure and public outcry.
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