Researchers looking at AI to measure impacts of prescription opioids on patients
Researchers in Alberta are experimenting with artificial intelligence to measure the risks of prescription opioids amid the ongoing drug overdose crisis across Canada.
Eurich was lead investigator on research published in December with JAMA Network, which analyzed medical data of more than 850,000 Albertans anonymously and predicted the best outcomes for the patients.Dr. Fizza Gilani of the College of Physicians and Surgeons of Alberta said machine learning could be an effective way to reduce hospitalizations and morbidity for patients once integrated in the health system.
“The idea is not to make physicians stop prescribing opioids, to minimize the risk after the opioid exposure,” said Gilani. “As a human, I can look at a couple of dozen variables and predict outcomes, but we’re finding that’s just not enough.” The goal, Eurich said, is to “reduce the risk of patients who are using high-risk medications that we know can result in poor outcomes.”
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