Study: Nurses offer untapped potential to assess patient discharge readiness
Editor's Note Although few strategies for reducing readmission rates leverage nurse input, nurses are well-placed to identify patients most at risk, according to a study published in the March issue of the journal Medical Care. The authors note that older Medicare beneficiaries with multiple chronic conditions (MCCs) continue to experience…
AI screening identifies patients’ risky preoperative alcohol use
Editor's Note: A recent study suggests artificial intelligence (AI) can be valuable for identifying patients who consumed risky amounts of of alcohol prior to surgery. Findings appeared in the journal Alcohol, Clinical and Experimental Research on January 8. For the study, researchers extracted 3 years of text-based clinical records from…
Mental health interventions reduce readmissions for trauma patients
Editor's Note Mental health intervention significantly reduces the likelihood of trauma survivors returning to the hospital in crisis after discharge, according to a study in the January 2024 issue of Annals of Surgery. According to the data, as many as 4 out of 10 of the 1.5 to 2 million…
Follow-up primary care visits reduce readmission rates for EGS patients
Editor's Note A recent study of Medicare beneficiaries found that patients hospitalized for an emergency general surgery (EGS) condition who had primary care follow-up within 30 days of discharge had much lower readmission rates. The investigative findings were published on September 27 in JAMA Surgery. Some highlights include: Patients who…
Study: Physician-owned hospitals have worse readmissions, other quality metrics
Editor's Note According to a study from health economics consulting firm Dobson | DaVanzo, submitted to the American Hospital Association (AHA) on August 1, physician-owned hospitals (POHs) "publicly report on fewer Medicare quality measures and perform worse on readmission penalties than full-service community hospitals" AHA August 3 reports. "The study…
AI accurately predicts 30-day readmission risk
Editor's Note Researchers at New York University Langone Health, New York City, have developed an artificial intelligence (AI) computer program that predicts whether a newly discharged patient will be readmitted within 30 days, the June 7 HealthDay reports. The AI program, named “NYUTron,” is a large language model that works…
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