Woman dies after AI hospital delay

The fellowship of a Brazilian adult female who died after ready and waiting(p) several years for an intensive-care bottom has blamed a new AI-powered state system for downgrading the severity of her condition and delaying her transfer.

Rebeca Cardoso Tenente Molina, a 32-year-old psychologist from Minas Gerais, sought treatment earlier this month for what was believed to be gallstones. Her condition quickly deteriorated, and doctors soon concluded she needed urgent transfer to an intensive-care unit.

However, the new state-run Core-MG bed-regulation platform reportedly failed to treat her case as critical enough, despite Molina’s relatives going to court to try to force a faster transfer.

A bed was found only about five days later, around 300 km away. Molina was flown there by private plane but died hours later. Her death certificate lists septic shock as the cause of death, but doctors are still trying to determine what triggered her rapid deterioration.

“Doctors lost the autonomy to decide if a patient is very seriously ill,” Molina’s twin sister and lawyer, Samela Cardoso Tenente Furtado, told the media.

She said the AI system gave Molina a severity score of 6.8, despite her family’s belief that she should have been treated as a 10. “A patient at 8, a patient at 6.9 would jump ahead of her,” Furtado said, adding that the AI-powered platform would not accept a higher level despite worsening test results.

“My sister, other people, are not just numbers, they are not just protocols, they are not just a CPF (Brazil’s taxpayer ID) thrown into the system,” she said.

The Core-MG system was introduced last month, with state officials stating it would make bed allocation faster and more transparent while helping classify patients by severity.

The Minas Gerais Health Department has denied that the system harmed Molina, saying she was registered immediately and that transfers depend on bed availability and clinical needs. It also said regulation remains overseen by doctors and that Core-MG did not change clinical criteria or the method for finding beds.

The rollout has nevertheless drawn criticism and legal challenges from local authorities, who argue it has disrupted patient transfers.

Molina’s case comes amid broader concerns about AI integration in healthcare. In the US, insurers have recently faced lawsuits over alleged algorithmic claim denials, while nurses in New York have warned about hospitals rushing to deploy AI tools without sufficient input or oversight from healthcare workers.

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