Study finds AI screening for OUD led to fewer hospital readmissions
The National Institutes of Health April 3 released a study that found an artificial intelligence screening tool was as effective as health care providers in identifying hospitalized adults at risk for opioid use disorder and referring them to inpatient addiction specialists. When compared with patients who received consultations with providers, patients screened by AI had 47% lower odds of hospital readmission within 30 days after their initial discharge, saving nearly $109,000 in care costs.
Related News Articles
Headline
The Joint Commission and the Coalition for Health AI released guidance Sept. 17 on the responsible use of artificial intelligence in health care, the first…
Chairperson's File
With all of the challenges facing health care — a shrinking workforce population, reduced funding, new technologies and pharmaceuticals — it's no longer an…
Headline
The Food and Drug Administration Sept. 10 released draft guidance on non-opioid treatments for treating chronic pain and reducing prescription opioid misuse.…
Headline
Randy Fagin, M.D., chief quality officer at HCA Healthcare, shares how one of the nation’s largest health systems is putting artificial intelligence into…
Headline
A Health Affairs study published Sept. 2 found that less than 40% of Medicare beneficiaries with opioid use disorder received standard care in alignment with…
Headline
The National Institutes of Health Aug. 5 issued guidance to researchers on the use of artificial intelligence for the research application process. According…