Doctors and nurses treat a COVID-19 patient in a makeshift intensive care wing at Harbor-UCLA Medical Center in Torrance. The deluge of patients has made the work of hospital discharge planners more ...

Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational ...

Janesville, Wis.-based Mercy Hospital and Trauma Center has implemented an interactive video-based patient education initiative into the discharge process of its endoscopy unit. Patients and ...

In the last few years, rates of hospital readmissions have become a key indicator of care quality, and for good reason. When significant numbers of patients in post-acute care settings experience a ...

An artificial intelligence (AI) tool accurately predicted which patients would need a skilled nursing facility after leaving the hospital, a new study shows. Led by researchers from NYU Langone Health ...

New York, NY (June 17, 2019) — Remedy, America’s leading episodes of care company, today announced findings from its study, “ Association of Decision Support for Hospital Discharge Disposition with ...

Please provide your email address to receive an email when new articles are posted on . Upon hospital discharge, most patients were not informed about “red-flag” signs and symptoms. Of patients who ...

NYU Langone model predicts post-discharge nursing care need with 88% accuracy using admission notes and risk factor analysis.

Objectives This study examined discharge outcomes and their predictors among patients enrolled in remote patient monitoring (RPM) support in Ontario, Canada. Design A 6-month competing risk survival ...

Recently, an 88-year-old member of my family underwent elective spinal surgery for disabling back pain. While the duration of hospitalization for anyone after surgery can be unpredictable, we were ...