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
Following an introduction from Michelle Hood, AHA executive vice president and COO, moderator Chris DeRienzo, M.D., AHA senior vice president and chief…
Headline
Heidi Bray, DNP, nurse practitioner and hospitalist at Providence St. Peter Hospital, explores how hospitals can improve opioid use disorder treatment through…
Headline
During a panel discussion July 12 on scaling innovation, moderator Joy Rhoden, senior vice president and executive director of the AHA’s…
Headline
The AHA announced July 8 that Erie County Medical Center of Buffalo, N.Y., and the Geriatrics and Extended Care Hospice and Palliative Medicine Team of Orlando…
Headline
The AHA’s American Organization for Nursing Leadership will host a biweekly virtual bootcamp from July 14-Aug. 25 for nurse executives and directors to provide…
Headline
Applications for the 2027 AHA Circle of Life Award are due by 1 p.m. ET on July 15. The award celebrates innovative organizations that provide direct patient…