Economically vulnerable patients
Affecté par des incidents
Incident 17683 Rapports
Kenya's AI Health Insurance Means Test Reportedly Overcharged Poor Households and Obstructed Care
2024-10-01
Kenya's Social Health Authority reportedly used a machine-learning means test to set health insurance premiums. Investigators alleged that income overestimation burdened poor households with unaffordable charges. A Nairobi laundry worker was reportedly sent home before surgery and could not afford follow-up care. The technical audit used a reconstruction; the exact deployed model and implementation of proposed changes were not confirmed. SHA defended the model as equitable.
PlusIncident 811 Rapport
Researchers find evidence of racial, gender, and socioeconomic bias in chest X-ray classifiers
2020-10-21
A study by the University of Toronto, the Vector Institute, and MIT showed the input databases that trained AI systems used to classify chest X-rays led the systems to show gender, socioeconomic, and racial biases.
PlusIncident 6031 Rapport
Algorithmic Allocation of Resources in Healthcare for Disabled and Elderly Care Services Allegedly Harmed Patients
2021-07-02
A healthcare algorithm designed to equitably distribute caregiving resources is alleged to have drastically cut care hours for the disabled and elderly, purportedly leading to significant hardships and harm. Initially developed for fair resource allocation, the system reportedly faced legal challenges for its inability to accurately assess individual needs, resulting in allegedly reduced essential care.
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