NHS doctors want ChatGPT AI to write heart patient reports so they can see more people
- Heart experts say using AI to write reports would free up time to see more patients
NHS heart experts want to use the ChatGPT artificial intelligence program to write vital patient reports, saying it would save them time and allow them to see more people.
The free to use software is already being used by students and office workers to perform some tasks.
And, according to Dr Samer Alabed, a cardiac radiologist at Sheffield Teaching Hospitals NHS Foundation Trust, the artificial intelligence program could be trained to interpret and write notes on heart scans.
“The radiologists take 45 minutes to analyze these scans and then write a report,” says Dr. Alabed. “We estimate that NHS doctors spend 115,000 hours reporting heart scans each year.
“If we could use software like ChatGPT to do this job, we could free up an incredible amount of time that could be used to treat more patients.”
NHS heart experts want to use the ChatGPT artificial intelligence program to write vital patient reports:
Doctors say it would free up time and allow them to see more people.
The software can also do this in non-medical language so that patients can understand their results without the help of a doctor.
Dr. Alabed and his team are already experimenting with the program and hope to set up a clinical trial with a large group of heart disease patients soon. The project is seen as the next step in the increasing use of artificial intelligence in the NHS.
In December, the MoS revealed that doctors at Sheffield teaching hospitals had started using a specially designed artificial intelligence program that could analyze MRI images of the heart and make complicated measurements to determine if there were any signs of disease.
Typically it takes doctors 20 minutes to complete these measurements, but the program can complete them in less than a minute. However, the doctors have yet to write up their findings.
Dr. Alabed believes that AI could carry out the entire process in its entirety. However, he adds that the team still has issues with ChatGPT that need to be addressed before the software can be used in the NHS.
“When we input measurements into ChatGPT, we found that it sometimes adds extra details that are made up or not accurate,” he says.
“The next step is to figure out how to train it to be accurate every time, so that patients get the correct diagnosis.”