The record

Where automated decisions went wrong

Incidents gathered from public reporting around the world. Each one links to the articles it came from. None of it is a finding that anyone broke the law.

Reports people file about their own experience are not shown here and never will be without their agreement. Tell us what happened to you.

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28 incidents closest to “Tempus ECG-Low EF” · matched on meaning · public reporting

Racial bias in lung test software led to underdiagnosis of Black men, study suggests

A study published in JAMA Network Open found that race-based adjustments in diagnostic software for lung function likely led to underdiagnosis of breathing problems in Black men. Researchers analyzed data from over 2,700 Black men and 5,700 white men at the University of Pennsylvania Health System and concluded that up to 40% more Black men might have been diagnosed if the algorithm were changed. The American Thoracic Society has recommended replacing race-focused adjustments, but changes may take time.

Company involved
University of Pennsylvania Health System

2 source articles · read the reporting →

WF-MR0Q4G1 Sep 2018

U.S. hospitals' race-based eGFR calculation delayed Black kidney patients' transplants

For years, U.S. transplant hospitals used a race-based version of the eGFR equation to estimate Black patients' kidney function. The adjustment inflated Black patients' readings, delaying their referral to the kidney transplant waitlist and leaving some to die or deteriorate on dialysis. After years of advocacy, the United Network for Organ Sharing prohibited the race-based calculation in 2022 and required transplant programmes to revise affected patients' waiting times.

Company involved
U.S. transplant hospitals
AI system involved
eGFR (estimated glomerular filtration rate)

2 source articles · read the reporting →

Imperial College AI stethoscope falsely identified heart failure in two-thirds of flagged patients

Researchers at Imperial College London and Imperial College Healthcare NHS Trust have developed an AI-powered stethoscope that analyses heart rhythms and performs an ECG, sending results to a doctor's smartphone. A study of more than 12,000 patients across the UK found that two-thirds of patients flagged as having heart failure did not actually have the condition. The researchers acknowledged that the false positives could cause unnecessary anxiety, and many GP surgeries stopped using or barely used the device after 12 months. The team plans to deploy the stethoscope more widely.

Company involved
Imperial College London and Imperial College Healthcare NHS Trust

6 source articles · read the reporting →

Abbott issues correction for FreeStyle Libre 3 sensors over incorrect glucose readings

Abbott initiated a medical device correction for certain FreeStyle Libre 3 and Libre 3 Plus sensors after internal testing found they might give incorrect low glucose readings. The company says the issue stems from one production line and could lead to improper treatment decisions for people with diabetes. Abbott is replacing affected sensors at no charge and has reported severe adverse events and deaths potentially associated with the issue.

Company involved
Abbott
AI system involved
FreeStyle Libre 3 and FreeStyle Libre 3 Plus sensors

2 source articles · read the reporting →

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